Eric J. Will

3.0k citations
75 papers · 2.0k · h-index 25

Impact in

  • Nephrology top 0.5%
    • Dialysis and Renal Disease Management
    • Acute Kidney Injury Research
    • Renal Transplantation Outcomes and Treatments

Papers in

Eric J. Will

75 papers receiving 1.9k citations

Peers

Eric J. Will
Comparison fields: 5 of 114
  • Nephrology 787
  • Transplantation 118
  • Hepatology 215
  • Hematology 252
  • Emergency Medical Services 116
Replace Felix Brunner with:
Felix Brunner Switzerland
Joseph M. Messana United States
G Mecca Italy
Wooseong Huh South Korea
Kyu Hun Choi South Korea
Christiane M. Erley Germany
B. Grabensee Germany
Rekha Abichandani United States
Roger A. Rodby United States
Lloyd S. Ibels Australia
Eric J. Will relative to Felix Brunner Switzerland Felix Brunner's profile →
Citations per field
00.5×1.5×2×2.4×
Felix Brunner · 1×
Citations per year

Countries citing papers authored by Eric J. Will

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric J. Will. 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 Eric J. Will. The network helps show where Eric J. Will may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric J. Will, 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 Eric J. Will Line = papers co-authored together Eric J. Will links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995300
2 1993265
3 1997100
4 199269
5 199867
6 199060
7 198454
8 200547
9 200844
10 199241
11 199341
12 198241
13 200139
14 198738
15 200735
16 198934
17 199433
18 200832
19 198331
20 200830

About Eric J. Will

Eric J. Will is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Hematology, Surgery and Emergency Medical Services, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (28 papers), Erythropoietin and Anemia Treatment (12 papers), Acute Kidney Injury Research (12 papers), Central Venous Catheters and Hemodialysis (8 papers), Renal Transplantation Outcomes and Treatments (7 papers), Iron Metabolism and Disorders (6 papers), Crystallization and Solubility Studies (6 papers) and Renal function and acid-base balance (6 papers). The work is most often cited by research in Nephrology (787 citations), Transplantation (118 citations), Hepatology (215 citations), Hematology (252 citations) and Emergency Medical Services (116 citations). Eric J. Will has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Andrew Davenport, A. M. Davison, S W Smye, A. M. Davison, S M Farmery, N J M London, Donald Richardson, C. H. Jones, O. L. M. Bijvoet and Charles G. Newstead. Their work appears in journals such as Nephrology Dialysis Transplantation, Artificial Organs, ˜The œNephron journals/Nephron journals, Journal of Nephrology and Journal of the American Society of Nephrology.

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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