Jeffrey R. Schelling

8.2k citations
84 papers · 3.2k indexed · h-index 36

Jeffrey R. Schelling

80 papers receiving 3.2k citations

Peers

Jeffrey R. Schelling
Comparison fields: 5 of 123
  • Nephrology 1.1k
  • Endocrinology, Diabetes and Metabolism 458
  • Cardiology and Cardiovascular Medicine 469
  • Molecular Biology 1.3k
  • Cell Biology 283
Replace Diego Rodrı́guez-Puyol with:
Diego Rodrı́guez-Puyol Spain
Andrew Advani Canada
Ferdinand H. Bahlmann Germany
Kerri Thai Canada
Praveen Chander United States
Andrea Hartner Germany
Eddie L. Greene United States
Ashour Michael Italy
Toshiro Sugimoto Japan
Keizo Kanasaki Japan
Jeffrey R. Schelling relative to Diego Rodrı́guez-Puyol Spain Diego Rodrı́guez-Puyol's profile →
Citations per field
00.5×1.5×
Diego Rodrı́guez-Puyol · 1×
Citations per year

Countries citing papers authored by Jeffrey R. Schelling

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey R. Schelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey R. Schelling. 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 Jeffrey R. Schelling. The network helps show where Jeffrey R. Schelling may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jeffrey R. Schelling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeffrey R. Schelling Line = papers co-authored together Jeffrey R. Schelling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20251
4 20254
5 20243
6 202311
7 202212
8 202129
9 202048
10 201753
11 2015122
12 2014129
13 201189
14
The NHE1 Na+/H+ exchanger regulates cell survival by activating and targeting ezrin to specific plasma membrane domains.
200613
15 20037
16 200314
17 200213
18 20029
19 199919
20 199276

About Jeffrey R. Schelling

Jeffrey R. Schelling is a scholar working on Nephrology, Immunology and Allergy and Cardiology and Cardiovascular Medicine, having authored 84 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (28 papers), Renal Diseases and Glomerulopathies (22 papers), Dialysis and Renal Disease Management (11 papers), Ion Transport and Channel Regulation (9 papers), Renal and related cancers (9 papers), Pancreatic function and diabetes (8 papers), Genetic and Kidney Cyst Diseases (7 papers) and Acute Kidney Injury Research (6 papers). The work is most often cited by research in Nephrology (1.1k citations), Endocrinology, Diabetes and Metabolism (458 citations) and Cardiology and Cardiovascular Medicine (469 citations). Jeffrey R. Schelling has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include John R. Sedor, Shenaz Khan, Stuart L. Linas, Martha Konieczkowski, Ronald P. Cleveland, Bassam G. Abu Jawdeh, Sudha K. Iyengar, Binghe Wang, Michael E. Ullian and Sujata Lakhe-Reddy.

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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