Asaf Wasserman

604 citations
30 papers · 379 · h-index 12

Impact in

Papers in

    • Sepsis Diagnosis and Treatment 7
    • Adipokines, Inflammation, and Metabolic Diseases 5
    • COVID-19 Clinical Research Studies 3

Asaf Wasserman

29 papers receiving 371 citations

Peers

Asaf Wasserman
Comparison fields: 5 of 73
  • Infectious Diseases 75
  • Nephrology 26
  • Critical Care and Intensive Care Medicine 15
  • Epidemiology 107
  • Family Practice 3
Replace Bianca Zukunft with:
Bianca Zukunft Germany
Clifford D. Miles United States
Marina Pontello Cristelli Brazil
Spencer T. Martin United States
Jaimin Patel United Kingdom
Janusz Wyzgał Poland
Malte Ziemann Germany
Hiroshi Moro Japan
Tiphaine Goulenok France
Marina Bakker Netherlands
Asaf Wasserman relative to Bianca Zukunft Germany Bianca Zukunft's profile →
Citations per field
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Bianca Zukunft · 1×
Citations per year

Countries citing papers authored by Asaf Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by Asaf Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 201943
3 202234
4
Interleukin-33 augments Treg cell levels: a flaw mechanism in atherosclerosis.
201226
5 200926
6 201920
7 202219
8 201918
9 202115
10 202012
11 201912
12 202012
13 201811
14 202110
15 20259
16 20238
17 20198
18 20226
19 20206
20 20195

About Asaf Wasserman

Asaf Wasserman is a scholar working on Epidemiology, Infectious Diseases, Nephrology, Public Health, Environmental and Occupational Health and Surgery, having authored 30 papers that have together received 379 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), COVID-19 Clinical Research Studies (3 papers), Streptococcal Infections and Treatments (2 papers), Dermatological and COVID-19 studies (2 papers), Iron Metabolism and Disorders (2 papers), Dialysis and Renal Disease Management (2 papers) and Healthcare cost, quality, practices (1 paper). The work is most often cited by research in Infectious Diseases (75 citations), Nephrology (26 citations), Critical Care and Intensive Care Medicine (15 citations), Epidemiology (107 citations) and Family Practice (3 citations). Asaf Wasserman has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Tal Levinson, Shlomo Berliner, Shani Shenhar‐Tsarfaty, Ori Rogowski, Itzhak Shapira, David Zeltser, Hanan Guzner‐Gur, Ilana Goldiner, Pinchas Halpern and Tomer Ziv‐Baran. Their work appears in journals such as Clinica Chimica Acta, Medicine, Infection, International Journal of Molecular Sciences and European Journal of Inflammation.

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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