Rivka Rotstein

747 citations
41 papers · 591 · h-index 15

Impact in

Papers in

Rivka Rotstein

41 papers receiving 562 citations

Peers

Rivka Rotstein
Comparison fields: 5 of 75
  • Pulmonary and Respiratory Medicine 360
  • Epidemiology 268
  • Physiology 191
  • Endocrinology, Diabetes and Metabolism 102
  • Hematology 57
Replace Tamar Mardi with:
Tamar Mardi Israel
NG Morgenthaler Germany
A Rasidakis Greece
Takumi Aramaki Japan
C G McGregor United States
Chuzo Mori Japan
Toru Sawada Japan
Rosa Penza Italy
V. Speranza Italy
Alan G. MacDonald United Kingdom
Rivka Rotstein relative to Tamar Mardi Israel Tamar Mardi's profile →
Citations per field
00.5×1.5×
Tamar Mardi · 1×
Citations per year

Countries citing papers authored by Rivka Rotstein

Since Specialization
Citations

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

Fields of papers citing papers by Rivka Rotstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200251
2 200045
3 200043
4 200241
5 200233
6 200131
7 200025
8 200124
9 200224
10 200221
11 200119
12 199916
13 200516
14 200415
15 200215
16 200114
17 200113
18 200112
19
The inflammation meter (INFLAMET): a new diagnostic approach to reveal the presence of an inflammatory response and assess its intensity.
200012
20 200210

About Rivka Rotstein

Rivka Rotstein is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Physiology and Hematology, having authored 41 papers that have together received 591 indexed citations. Recurring topics across this work include Blood properties and coagulation (30 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Platelet Disorders and Treatments (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Sepsis Diagnosis and Treatment (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (360 citations), Epidemiology (268 citations), Physiology (191 citations), Endocrinology, Diabetes and Metabolism (102 citations) and Hematology (57 citations). Rivka Rotstein has collaborated with scholars based in Israel and United States. Frequent co-authors include David Zeltser, Itzhak Shapira, Shlomo Berliner, Renato Fusman, Nadir Arber, Daniel Avitzour, Tamar Mardi, Natan M. Bornstein, Michael Koffler and Ori Rogowski. Their work appears in journals such as Acta Diabetologica, Telemedicine Journal and e-Health, Infection, Acta Neurologica Scandinavica and The American Journal of the Medical Sciences.

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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