Danny Ben‐Zvi

1.7k citations
41 papers · 1.2k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Danny Ben‐Zvi

40 papers receiving 1.2k citations

Hit Papers

The total mass, number, and distribution of immune cells in the human body 2023 · 123 citations
12320232026202420254080120

Peers

Danny Ben‐Zvi
Comparison fields: 5 of 105
  • Cell Biology 309
  • Endocrine and Autonomic Systems 80
  • Molecular Biology 771
  • Aging 15
  • Physiology 165
Replace Yasunobu Uchijima with:
Yasunobu Uchijima Japan
Hiroki Kaneko Japan
Judson D. Sheridan United States
Cheng Deng China
Dana Chuderland Israel
Lu W United States
Lindsay C. Burrage United States
Vasily Rybakin United States
Christopher Buccitelli Germany
Sanjaya Kumar Sahoo United States
Danny Ben‐Zvi relative to Yasunobu Uchijima Japan Yasunobu Uchijima's profile →
Citations per field
00.5×2.9×
Yasunobu Uchijima · 1×
Citations per year

Countries citing papers authored by Danny Ben‐Zvi

Since Specialization
Citations

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

Fields of papers citing papers by Danny Ben‐Zvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny Ben‐Zvi. 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 Danny Ben‐Zvi. The network helps show where Danny Ben‐Zvi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20235
3 20237
4 20233
5 20231
6 20221
7 20224
8 20221
9 202162
10 202111
11 202037
12 201840
13 20189
14 201819
15 20159
16 201334
17 201165
18 20091
19 200929
20 2008185

About Danny Ben‐Zvi

Danny Ben‐Zvi is a scholar working on Endocrine and Autonomic Systems, Physiology, Cell Biology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (12 papers), Developmental Biology and Gene Regulation (11 papers), Diet and metabolism studies (10 papers), Cellular Mechanics and Interactions (7 papers), Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (4 papers), Diabetes Treatment and Management (4 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Cell Biology (309 citations), Endocrine and Autonomic Systems (80 citations), Molecular Biology (771 citations), Aging (15 citations) and Physiology (165 citations). Danny Ben‐Zvi has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Naama Barkai, Ben‐Zion Shilo, Abraham Fainsod, George Pyrowolakis, Inna Averbukh, Siddhartha Mishra, Eyal D. Schejter, Ron Sender, Shai Fuchs and Leeat Keren. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Metabolism, Diabetes, Journal of the American Heart Association and Cell.

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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