Glenn T. Nagami

2.0k total citations
50 papers, 1.5k citations indexed

About

Glenn T. Nagami is a scholar working on Molecular Biology, Nephrology and Physiology. According to data from OpenAlex, Glenn T. Nagami has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 22 papers in Nephrology and 14 papers in Physiology. Recurrent topics in Glenn T. Nagami's work include Ion Transport and Channel Regulation (19 papers), Renal function and acid-base balance (14 papers) and Nitric Oxide and Endothelin Effects (9 papers). Glenn T. Nagami is often cited by papers focused on Ion Transport and Channel Regulation (19 papers), Renal function and acid-base balance (14 papers) and Nitric Oxide and Endothelin Effects (9 papers). Glenn T. Nagami collaborates with scholars based in United States, Japan and France. Glenn T. Nagami's co-authors include Jeffrey A. Kraut, Alan Lichtenstein, Peter Igarashi, Christopher Y. Lu, James A. Richardson, Kiyoshi Kurokawa, John M. Shelton, L. Lee Hamm, Kui Li and Michael Bennett and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Glenn T. Nagami

48 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn T. Nagami United States 26 711 586 277 216 164 50 1.5k
Miguel Arévalo Spain 24 909 1.3× 559 1.0× 324 1.2× 337 1.6× 237 1.4× 56 2.1k
Jesus H. Dominguez United States 26 739 1.0× 611 1.0× 203 0.7× 355 1.6× 229 1.4× 66 2.0k
Hajime Nagasu Japan 19 668 0.9× 463 0.8× 174 0.6× 288 1.3× 149 0.9× 54 1.6k
Norishi Ueda Japan 20 545 0.8× 518 0.9× 189 0.7× 165 0.8× 113 0.7× 37 1.8k
Mi Ra Yu South Korea 24 887 1.2× 586 1.0× 183 0.7× 346 1.6× 256 1.6× 41 2.1k
Tom Nijenhuis Netherlands 25 967 1.4× 841 1.4× 402 1.5× 254 1.2× 169 1.0× 56 2.4k
Satish RamachandraRao United States 12 417 0.6× 493 0.8× 197 0.7× 168 0.8× 240 1.5× 14 1.3k
Daniela Macconi Italy 26 638 0.9× 879 1.5× 202 0.7× 213 1.0× 276 1.7× 47 2.2k
Ulf Janssen Germany 16 382 0.5× 582 1.0× 102 0.4× 206 1.0× 163 1.0× 24 1.4k
Akihide Nakao Japan 18 345 0.5× 409 0.7× 120 0.4× 170 0.8× 321 2.0× 36 1.4k

Countries citing papers authored by Glenn T. Nagami

Since Specialization
Citations

This map shows the geographic impact of Glenn T. Nagami'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 Glenn T. Nagami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn T. Nagami more than expected).

Fields of papers citing papers by Glenn T. Nagami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn T. Nagami. 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 Glenn T. Nagami. The network helps show where Glenn T. Nagami may publish in the future.

Co-authorship network of co-authors of Glenn T. Nagami

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn T. Nagami. A scholar is included among the top collaborators of Glenn T. Nagami 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 Glenn T. Nagami. Glenn T. Nagami 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.
Ferreira, Rodrigo Lopes, Frank A. Witzmann, Mu Wang, et al.. (2023). Proteomic analysis of murine kidney proximal tubule sub-segment derived cell lines reveals preferences in mitochondrial pathway activity. Journal of Proteomics. 289. 104998–104998. 1 indexed citations
2.
Nagami, Glenn T. & Jeffrey A. Kraut. (2022). Regulation of Acid-Base Balance in Patients With Chronic Kidney Disease. Advances in Chronic Kidney Disease. 29(4). 337–342. 7 indexed citations
3.
Corridon, Peter R., Shijun Zhang, Weimin Xu, et al.. (2018). Exogenous Gene Transmission of Isocitrate Dehydrogenase 2 Mimics Ischemic Preconditioning Protection. Journal of the American Society of Nephrology. 29(4). 1154–1164. 24 indexed citations
4.
Nagami, Glenn T. & L. Lee Hamm. (2017). Regulation of Acid-Base Balance in Chronic Kidney Disease. Advances in Chronic Kidney Disease. 24(5). 274–279. 44 indexed citations
5.
Nagami, Glenn T.. (2016). Hyperchloremia – Why and how. Nefrología. 36(4). 347–353. 38 indexed citations
6.
Nagami, Glenn T. & Kazuo Kurokawa. (2015). Ammonia Production by Isolated Perfused Mouse Proximal Tubules1. Contributions to nephrology. 47. 105–109.
7.
Marcus, Elizabeth A., Nobuhiro Inatomi, Glenn T. Nagami, George Sachs, & David R. Scott. (2012). The effects of varying acidity on Helicobacter pylori growth and the bactericidal efficacy of ampicillin. Alimentary Pharmacology & Therapeutics. 36(10). 972–979. 80 indexed citations
8.
Paige, Neil M. & Glenn T. Nagami. (2009). The Top 10 Things Nephrologists Wish Every Primary Care Physician Knew. Mayo Clinic Proceedings. 84(2). 180–186. 31 indexed citations
9.
Wang, Yanxia, Jianlin Chen, James A. Richardson, et al.. (2009). IRF-1 Promotes Inflammation Early after Ischemic Acute Kidney Injury. Journal of the American Society of Nephrology. 20(7). 1544–1555. 56 indexed citations
10.
Nagami, Glenn T.. (2008). Role of angiotensin II in the enhancement of ammonia production and secretion by the proximal tubule in metabolic acidosis. American Journal of Physiology-Renal Physiology. 294(4). F874–F880. 31 indexed citations
11.
Tareen, Naureen, David Martins, Glenn T. Nagami, Barton S. Levine, & Keith C. Norris. (2005). Sodium disorders in the elderly.. PubMed Central. 97(2). 217–24. 26 indexed citations
12.
Nagami, Glenn T.. (2004). Ammonia production and secretion by S3 proximal tubule segments from acidotic mice: role of ANG II. American Journal of Physiology-Renal Physiology. 287(4). F707–F712. 25 indexed citations
13.
Lichtenstein, Alan, et al.. (1999). Differential effects of cisplatin in proximal and distal renal tubule epithelial cell lines. British Journal of Cancer. 79(2). 293–299. 3 indexed citations
14.
Kurtz, Ira, et al.. (1994). Mechanism of apical and basolateral Na(+)-independent Cl-/base exchange in the rabbit superficial proximal straight tubule.. Journal of Clinical Investigation. 94(1). 173–183. 34 indexed citations
15.
Kaunitz, Jonathan D., et al.. (1993). Inhibition of Gentamicin Uptake into Cultured Mouse Proximal Tubule Epithelial Cells by L‐Lysine. The Journal of Clinical Pharmacology. 33(1). 63–69. 27 indexed citations
16.
Nagami, Glenn T.. (1992). Effect of angiotensin II on ammonia production and secretion by mouse proximal tubules perfused in vitro.. Journal of Clinical Investigation. 89(3). 925–931. 35 indexed citations
17.
Hashimoto, Sam & Glenn T. Nagami. (1991). Low-density lipoprotein uptake and cholesterol accumulation by cultured renal cells.. Journal of the American Society of Nephrology. 2(6). 1101–1107. 1 indexed citations
18.
Nagami, Glenn T.. (1990). Effect of bath and luminal potassium concentration on ammonia production and secretion by mouse proximal tubules perfused in vitro.. Journal of Clinical Investigation. 86(1). 32–39. 25 indexed citations
19.
Kraut, Jeffrey A., et al.. (1990). AVP reduces transepithelial resistance across IMCD cell monolayers. American Journal of Physiology-Renal Physiology. 258(6). F1561–F1568. 8 indexed citations
20.
Nagami, Glenn T., et al.. (1986). Ammonia production by isolated mouse proximal tubules perfused in vitro. Effect of metabolic acidosis.. Journal of Clinical Investigation. 78(1). 124–129. 30 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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