Daniel W. Wilkey

1.8k total citations
43 papers, 1.2k citations indexed

About

Daniel W. Wilkey is a scholar working on Molecular Biology, Nephrology and Epidemiology. According to data from OpenAlex, Daniel W. Wilkey has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Nephrology and 10 papers in Epidemiology. Recurrent topics in Daniel W. Wilkey's work include Liver Disease Diagnosis and Treatment (8 papers), Chronic Kidney Disease and Diabetes (7 papers) and Renal Diseases and Glomerulopathies (7 papers). Daniel W. Wilkey is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Chronic Kidney Disease and Diabetes (7 papers) and Renal Diseases and Glomerulopathies (7 papers). Daniel W. Wilkey collaborates with scholars based in United States, Netherlands and Switzerland. Daniel W. Wilkey's co-authors include Michael L. Merchant, Jon B. Klein, Jeroen K. Deegens, Ilse M. Rood, Jack F.M. Wetzels, Wim P.M. Tamboer, Timothy D. Cummins, David W. Powell, Elias Klein and K. Jill McAfee and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Daniel W. Wilkey

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel W. Wilkey United States	19	749	256	236	142	120	43	1.2k
Agnieszka Latosińska Germany	23	635 0.8×	190 0.7×	163 0.7×	224 1.6×	98 0.8×	80	1.4k
Takashi Hato United States	24	692 0.9×	518 2.0×	111 0.5×	211 1.5×	186 1.6×	56	1.5k
Mengyi Wang China	20	449 0.6×	109 0.4×	180 0.8×	103 0.7×	178 1.5×	77	1.1k
Haixia Li China	17	310 0.4×	155 0.6×	82 0.3×	95 0.7×	92 0.8×	51	866
Donge Tang China	22	1.0k 1.4×	108 0.4×	395 1.7×	146 1.0×	135 1.1×	149	1.8k
Verena Broecker Germany	17	309 0.4×	153 0.6×	100 0.4×	153 1.1×	83 0.7×	32	1.2k
Maria Frantzi Germany	19	509 0.7×	83 0.3×	160 0.7×	242 1.7×	56 0.5×	49	1.1k
Akira Furusu Japan	23	482 0.6×	430 1.7×	97 0.4×	157 1.1×	96 0.8×	59	1.4k
Fengmei Wang China	13	298 0.4×	288 1.1×	61 0.3×	106 0.7×	61 0.5×	41	881
Patrice A. Lee United States	11	443 0.6×	296 1.2×	45 0.2×	170 1.2×	271 2.3×	17	1.1k

Countries citing papers authored by Daniel W. Wilkey

Since Specialization

Citations

This map shows the geographic impact of Daniel W. Wilkey'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 Daniel W. Wilkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Wilkey more than expected).

Fields of papers citing papers by Daniel W. Wilkey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Wilkey. 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 Daniel W. Wilkey. The network helps show where Daniel W. Wilkey may publish in the future.

Co-authorship network of co-authors of Daniel W. Wilkey

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Wilkey. A scholar is included among the top collaborators of Daniel W. Wilkey 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 Daniel W. Wilkey. Daniel W. Wilkey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Jiang, María Hernández‐Tejero, Juliane I. Beier, et al.. (2023). The plasma degradome reflects later development of NASH fibrosis after liver transplant. Scientific Reports. 13(1). 9965–9965. 2 indexed citations

Cummins, Timothy D., David W. Powell, Daniel W. Wilkey, et al.. (2022). Quantitative Mass Spectrometry Normalization in Urine Biomarker Analysis in Nephrotic Syndrome. SHILAP Revista de lepidopterología. 2(3). 121–131. 2 indexed citations

Head, Kimberly Z., Jiang Li, Daniel W. Wilkey, et al.. (2022). Fibrosis resolution in the mouse liver: Role of Mmp12 and potential role of calpain 1/2. SHILAP Revista de lepidopterología. 17. 100127–100127. 7 indexed citations

Schneider, Gabriela, Alagammai Kaliappan, Robert Buscaglia, et al.. (2021). The Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer. Cancers. 13(21). 5326–5326. 11 indexed citations

Merchant, Michael L., Michelle T. Barati, Dawn J. Caster, et al.. (2020). Proteomic Analysis Identifies Distinct Glomerular Extracellular Matrix in Collapsing Focal Segmental Glomerulosclerosis. Journal of the American Society of Nephrology. 31(8). 1883–1904. 26 indexed citations

Satoskar, Anjali A., John P. Shapiro, Samir V. Parikh, et al.. (2020). Differentiating Staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study. Scientific Reports. 10(1). 17179–17179. 10 indexed citations

Hardesty, Josiah, Banrida Wahlang, K. Cameron Falkner, et al.. (2019). Proteomic Analysis Reveals Novel Mechanisms by Which Polychlorinated Biphenyls Compromise the Liver Promoting Diet-Induced Steatohepatitis. Journal of Proteome Research. 18(4). 1582–1594. 18 indexed citations

Hardesty, Josiah, Banrida Wahlang, K. Cameron Falkner, et al.. (2018). Hepatic signalling disruption by pollutant Polychlorinated biphenyls in steatohepatitis. Cellular Signalling. 53. 132–139. 14 indexed citations

Wilkey, Daniel W., et al.. (2018). Proteomics reveals novel protein associations with early endosomes in an epidermal growth factor–dependent manner. Journal of Biological Chemistry. 293(16). 5895–5908. 22 indexed citations

10.

Larsen, Christopher P., A. Bernard Collins, Michael L. Merchant, et al.. (2017). LDL Receptor-Related Protein 2 (Megalin) as a Target Antigen in Human Kidney Anti-Brush Border Antibody Disease. Journal of the American Society of Nephrology. 29(2). 644–653. 51 indexed citations

11.

Atay, Safinur, Daniel W. Wilkey, Mohammed Milhem, Michael L. Merchant, & Andrew K. Godwin. (2017). Insights into the Proteome of Gastrointestinal Stromal Tumors-Derived Exosomes Reveals New Potential Diagnostic Biomarkers. Molecular & Cellular Proteomics. 17(3). 495–515. 50 indexed citations

12.

Murray, Rebecca D., et al.. (2016). Low dose ouabain stimulates Na K ATPase α1 subunit association with angiotensin II type 1 receptor in renal proximal tubule cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(11). 2624–2636. 17 indexed citations

13.

Villafuerte, Betty C., Michelle T. Barati, Madhavi J. Rane, et al.. (2016). Over-expression of insulin-response element binding protein-1 (IRE-BP1) in mouse pancreatic islets increases expression of RACK1 and TCTP: Beta cell markers of high glucose sensitivity. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(2). 186–194. 7 indexed citations

14.

Merchant, Michael L., Monika A. Niewczas, Linda Ficociello, et al.. (2013). Plasma kininogen and kininogen fragments are biomarkers of progressive renal decline in type 1 diabetes. Kidney International. 83(6). 1177–1184. 31 indexed citations

15.

Merchant, Michael L., Adam E. Gawęda, Daniel W. Wilkey, et al.. (2010). Oncostatin M receptor β and cysteine/histidine-rich 1 are biomarkers of the response to erythropoietin in hemodialysis patients. Kidney International. 79(5). 546–554. 6 indexed citations

16.

Merchant, Michael L., Bruce A. Perkins, Grzegorz M. Boratyn, et al.. (2009). Urinary Peptidome May Predict Renal Function Decline in Type 1 Diabetes and Microalbuminuria. Journal of the American Society of Nephrology. 20(9). 2065–2074. 110 indexed citations

17.

Merchant, Michael L., Timothy D. Cummins, Daniel W. Wilkey, et al.. (2008). Proteomic analysis of renal calculi indicates an important role for inflammatory processes in calcium stone formation. American Journal of Physiology-Renal Physiology. 295(4). F1254–F1258. 68 indexed citations

18.

Graham, Carol A., et al.. (2008). Proteomic techniques identify urine proteins that differentiate patients with interstitial cystitis from asymptomatic control subjects. American Journal of Obstetrics and Gynecology. 198(5). 553.e1–553.e6. 22 indexed citations

19.

Wilkey, Daniel W. & Michael L. Merchant. (2007). Proteomic Methods for Biomarker Discovery in Urine. Seminars in Nephrology. 27(6). 584–596. 4 indexed citations

20.

Colella, Rita, et al.. (2000). GM1 enhances the association of neuron-specific MAP2 with actin in MAP2-transfected 3T3 cells. Developmental Brain Research. 121(1). 1–9. 4 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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