Mark A. Knepper

42.5k total citations · 8 hit papers
447 papers, 33.2k citations indexed

About

Mark A. Knepper is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Social Psychology. According to data from OpenAlex, Mark A. Knepper has authored 447 papers receiving a total of 33.2k indexed citations (citations by other indexed papers that have themselves been cited), including 392 papers in Molecular Biology, 217 papers in Pulmonary and Respiratory Medicine and 65 papers in Social Psychology. Recurrent topics in Mark A. Knepper's work include Ion Transport and Channel Regulation (326 papers), Electrolyte and hormonal disorders (203 papers) and Neuroendocrine regulation and behavior (65 papers). Mark A. Knepper is often cited by papers focused on Ion Transport and Channel Regulation (326 papers), Electrolyte and hormonal disorders (203 papers) and Neuroendocrine regulation and behavior (65 papers). Mark A. Knepper collaborates with scholars based in United States, Denmark and South Korea. Mark A. Knepper's co-authors include Trairak Pisitkun, Chung‐Lin Chou, Søren Nielsen, Carolyn Ecelbarger, Rong‐Fong Shen, David Marples, Jørgen Frøkiær, Tae‐Hwan Kwon, Jason D. Hoffert and Erik Christensen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Mark A. Knepper

443 papers receiving 32.7k citations

Hit Papers

Identification and proteomic profiling of exosomes in hum... 1993 2026 2004 2015 2004 2002 1995 1999 1993 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification and proteomic profiling of exosomes in human urine
    2004 1.8k citations Trairak Pisitkun, Rong‐Fong Shen et al. Proceedings of the National Academy of Sciences profile →
  2. Aquaporins in the Kidney: From Molecules to Medicine
    2002 954 citations Mark A. Knepper et al. profile →
  3. Vasopressin increases water permeability of kidney collecting duct by inducing translocation of aquaporin-CD water channels to plasma membrane.
    1995 838 citations Chung‐Lin Chou, Mark A. Knepper et al. Proceedings of the National Academy of Sciences profile →
  4. Aldosterone-mediated regulation of ENaC α, β, and γ subunit proteins in rat kidney
    1999 625 citations Mark A. Knepper et al. profile →
  5. Cellular and subcellular immunolocalization of vasopressin-regulated water channel in rat kidney.
    1993 612 citations Mark A. Knepper et al. Proceedings of the National Academy of Sciences profile →
  6. Large-Scale Proteomics and Phosphoproteomics of Urinary Exosomes
    2008 592 citations Patricia A. Gonzales, Trairak Pisitkun et al. Journal of the American Society of Nephrology profile →
  7. CHIP28 water channels are localized in constitutively water-permeable segments of the nephron.
    1993 453 citations Mark A. Knepper et al. profile →
  8. Deep Sequencing in Microdissected Renal Tubules Identifies Nephron Segment–Specific Transcriptomes
    2015 403 citations Jae Wook Lee, Chung‐Lin Chou et al. Journal of the American Society of Nephrology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark A. Knepper United States 94 26.7k 13.2k 4.8k 3.6k 2.9k 447 33.2k
Fumiaki Marumo Japan 89 13.4k 0.5× 4.9k 0.4× 1.9k 0.4× 2.1k 0.6× 6.4k 2.2× 626 28.0k
A.S. Verkman United States 105 25.2k 0.9× 9.2k 0.7× 1.3k 0.3× 1.2k 0.3× 3.2k 1.1× 323 34.8k
Søren Nielsen Denmark 71 12.7k 0.5× 6.2k 0.5× 1.4k 0.3× 1.2k 0.3× 1.7k 0.6× 283 18.5k
Richard P. Lifton United States 92 20.6k 0.8× 5.0k 0.4× 3.2k 0.7× 9.7k 2.7× 1.8k 0.6× 276 35.1k
Jørgen Frøkiær Denmark 61 7.8k 0.3× 4.8k 0.4× 2.0k 0.4× 1.8k 0.5× 1.3k 0.5× 336 13.1k
Tadashi Inagami United States 92 16.1k 0.6× 2.0k 0.2× 978 0.2× 9.0k 2.5× 3.9k 1.4× 536 30.9k
Erik Christensen Denmark 61 7.4k 0.3× 2.7k 0.2× 2.5k 0.5× 967 0.3× 1.6k 0.5× 198 14.2k
Søren Nielsen Denmark 66 7.6k 0.3× 3.0k 0.2× 1.3k 0.3× 2.5k 0.7× 3.0k 1.0× 279 13.8k
Sadayoshi Ito Japan 78 5.7k 0.2× 2.3k 0.2× 3.3k 0.7× 5.9k 1.7× 2.8k 1.0× 781 23.6k
Harald Schmidt Germany 91 9.1k 0.3× 1.9k 0.1× 752 0.2× 1.6k 0.4× 14.2k 4.9× 372 29.5k

Countries citing papers authored by Mark A. Knepper

Since Specialization
Citations

This map shows the geographic impact of Mark A. Knepper's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark A. Knepper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Knepper more than expected).

Fields of papers citing papers by Mark A. Knepper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Knepper. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark A. Knepper. The network helps show where Mark A. Knepper may publish in the future.

Co-authorship network of co-authors of Mark A. Knepper

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Knepper. A scholar is included among the top collaborators of Mark A. Knepper based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark A. Knepper. Mark A. Knepper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jung, Hyun Jun, et al.. (2025). A distal convoluted tubule‐specific isoform of murine SLC41A3 extrudes magnesium. Acta Physiologica. 241(3). e70018–e70018. 1 indexed citations
2.
Poll, Brian G., et al.. (2024). A resource database for protein kinase substrate sequence-preference motifs based on large-scale mass spectrometry data. Cell Communication and Signaling. 22(1). 137–137. 8 indexed citations
3.
Mejia, Raymond, et al.. (2024). Bayesian mapping of protein kinases to vasopressin-regulated phosphorylation sites in renal collecting duct. American Journal of Physiology-Renal Physiology. 327(4). F591–F598. 1 indexed citations
4.
Yang, Chin‐Rang, Angel Aponte, Hiroaki Kikuchi, et al.. (2023). Circadian gene expression in mouse renal proximal tubule. American Journal of Physiology-Renal Physiology. 324(3). F301–F314. 3 indexed citations
5.
Shrivastav, Shashi, Hewang Lee, Huiyan Lü, et al.. (2022). HIV-1 Vpr suppresses expression of the thiazide-sensitive sodium chloride co-transporter in the distal convoluted tubule. PLoS ONE. 17(9). e0273313–e0273313.
6.
Datta, Arnab, et al.. (2020). Phosphoproteomic identification of vasopressin‐regulated protein kinases in collecting duct cells. British Journal of Pharmacology. 178(6). 1426–1444. 15 indexed citations
7.
Chen, Lihe, et al.. (2019). Renal-Tubule Epithelial Cell Nomenclature for Single-Cell RNA-Sequencing Studies. Journal of the American Society of Nephrology. 30(8). 1358–1364. 68 indexed citations
8.
Isobe, Kiyoshi, Hyun Jun Jung, Chin-Rang Yang, et al.. (2017). Systems-level identification of PKA-dependent signaling in epithelial cells. Proceedings of the National Academy of Sciences. 114(42). E8875–E8884. 99 indexed citations
9.
Chen, Lihe, Jae Wook Lee, Chung‐Lin Chou, et al.. (2017). Transcriptomes of major renal collecting duct cell types in mouse identified by single-cell RNA-seq. Proceedings of the National Academy of Sciences. 114(46). E9989–E9998. 191 indexed citations
10.
Raghuram, Viswanathan, et al.. (2016). Comprehensive database of human E3 ubiquitin ligases: application to aquaporin-2 regulation. Physiological Genomics. 48(7). 502–512. 81 indexed citations
11.
Lee, Jae Wook, et al.. (2013). Tolvaptan as a tool in renal physiology. American Journal of Physiology-Renal Physiology. 306(3). F359–F366. 21 indexed citations
12.
Chen, Pei‐Yu, Shu‐Yu Lin, Kay‐Hooi Khoo, et al.. (2013). Quantitative apical membrane proteomics reveals vasopressin-induced actin dynamics in collecting duct cells. Proceedings of the National Academy of Sciences. 110(42). 17119–17124. 57 indexed citations
13.
Sarkar, Abhijit, et al.. (2012). An online tool for calculation of free-energy balance for the renal inner medulla. American Journal of Physiology-Renal Physiology. 303(3). F366–F372. 3 indexed citations
14.
Feric, Marina, et al.. (2011). Large-scale phosphoproteomic analysis of membrane proteins in renal proximal and distal tubule. American Journal of Physiology-Cell Physiology. 300(4). C755–C770. 37 indexed citations
15.
Rinschen, Markus M., Ming‐Jiun Yu, Guanghui Wang, et al.. (2010). Quantitative phosphoproteomic analysis reveals vasopressin V2-receptor–dependent signaling pathways in renal collecting duct cells. Proceedings of the National Academy of Sciences. 107(8). 3882–3887. 145 indexed citations
16.
Pisitkun, Trairak, Rose M. Johnstone, & Mark A. Knepper. (2006). Discovery of Urinary Biomarkers. Molecular & Cellular Proteomics. 5(10). 1760–1771. 320 indexed citations
17.
Hoorn, Ewout J., Trairak Pisitkun, Robert Zietse, et al.. (2005). Prospects for urinary proteomics: Exosomes as a source of urinary biomarkers (Review Article). Nephrology. 10(3). 283–290. 151 indexed citations
18.
Pisitkun, Trairak, Rong‐Fong Shen, & Mark A. Knepper. (2004). Identification and proteomic profiling of exosomes in human urine. Proceedings of the National Academy of Sciences. 101(36). 13368–13373. 1754 indexed citations breakdown →
19.
Knepper, Mark A.. (2002). Proteomics and the Kidney. Journal of the American Society of Nephrology. 13(5). 1398–1408. 89 indexed citations
20.
Chung, Sookja Kim, Janice W. S. Law, Ben C.B. Ko, et al.. (2000). Aldose Reductase-Deficient Mice Develop Nephrogenic Diabetes Insipidus. Molecular and Cellular Biology. 20(16). 5840–5846. 89 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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