Sheldon Greenberg

588 citations
33 papers · 444 · h-index 8

Impact in

Papers in

Sheldon Greenberg

29 papers receiving 399 citations

Peers

Sheldon Greenberg
Comparison fields: 5 of 68
  • Emergency Medical Services 121
  • Anesthesiology and Pain Medicine 55
  • Pulmonary and Respiratory Medicine 205
  • Nephrology 39
  • Epidemiology 82
Replace Daniela Perrotta with:
Daniela Perrotta Italy
Christian Lagarde France
Joerg Brederlau Germany
Williams Ra United States
SD Cohle United States
Julia Cullen United Kingdom
Hyung Koo Kang South Korea
Michael Marcus United States
Yoshihiko Morikawa Japan
Olusanya Adejuyigbe Nigeria
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Citations per field
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Citations per year

Countries citing papers authored by Sheldon Greenberg

Since Specialization
Citations

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

Fields of papers citing papers by Sheldon Greenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheldon Greenberg. 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 Sheldon Greenberg. The network helps show where Sheldon Greenberg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198589
2 199381
3 200159
4 200138
5 200134
6 201433
7 199323
8 201113
9 19898
10 20167
11 20117
12 20225
13 19955
14 20235
15 20215
16 20174
17 20134
18 20213
19 20173
20 19963

About Sheldon Greenberg

Sheldon Greenberg is a scholar working on Nephrology, Emergency Medical Services, Pulmonary and Respiratory Medicine, Surgery and Infectious Diseases, having authored 33 papers that have together received 444 indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (6 papers), Central Venous Catheters and Hemodialysis (6 papers), Renal Diseases and Glomerulopathies (5 papers), Vascular Procedures and Complications (4 papers), Dialysis and Renal Disease Management (3 papers), Muscle and Compartmental Disorders (3 papers), COVID-19 Clinical Research Studies (2 papers) and Vascular anomalies and interventions (2 papers). The work is most often cited by research in Emergency Medical Services (121 citations), Anesthesiology and Pain Medicine (55 citations), Pulmonary and Respiratory Medicine (205 citations), Nephrology (39 citations) and Epidemiology (82 citations). Sheldon Greenberg has collaborated with scholars based in United States and Israel. Frequent co-authors include Anil Hingorani, Enrico Ascher, Sreedhar Kallakuri, Yilmaz Gunduz, Shyan–Yih Chou, Marie Elizabeth Ward, Morton J. Kleiner, Kavita Sharma, Robert K. Jackler and Jeffrey Aaron. Their work appears in journals such as American Journal of Kidney Diseases, Annals of Vascular Surgery, The Laryngoscope, Otolaryngology and ˜The œNephron journals/Nephron journals.

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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