Ν. Kaiser

3.0k citations
46 papers · 2.5k · h-index 27

Impact in

Papers in

Ν. Kaiser

46 papers receiving 2.4k citations

Peers

Ν. Kaiser
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 699
  • Surgery 1.1k
  • Genetics 558
  • Nephrology 130
  • Cell Biology 253
Replace Shigeaki Baba with:
Shigeaki Baba Japan
Ralph W. Stevenson United States
In Kyu Lee South Korea
Yasunori Kanazawa Japan
Stewart A. Metz United States
Toshio Murase Japan
Nurit Kaiser Israel
Takashi Natori Japan
Antti Virkamäki Finland
Tuula Kiviluoto Finland
Ν. Kaiser relative to Shigeaki Baba Japan Shigeaki Baba's profile →
Citations per field
00.5×3.0×
Shigeaki Baba · 1×
Citations per year

Countries citing papers authored by Ν. Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Ν. Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001455
2 1999337
3 2003172
4 1992167
5 1977156
6 1999144
7 199490
8 200161
9 197546
10 200945
11 199444
12 198844
13 199942
14 199342
15 200540
16 197640
17 201039
18 199738
19
Specific glucocorticoid binding in human hemopoietic cell lines and neoplastic tissue.
197334
20 198232

About Ν. Kaiser

Ν. Kaiser is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), Metabolism, Diabetes, and Cancer (11 papers), Diabetes and associated disorders (9 papers), Adipose Tissue and Metabolism (9 papers), Diabetes Management and Research (8 papers), Estrogen and related hormone effects (5 papers), Diet, Metabolism, and Disease (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (699 citations), Surgery (1.1k citations), Genetics (558 citations), Nephrology (130 citations) and Cell Biology (253 citations). Ν. Kaiser has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Marc Y. Donath, David J. Gross, E Cerasi, Gil Leibowitz, Erol Cerasi, I. S. Edelman, Giatgen A. Spinas, Daniela Dyntar, Kathrin Maedler and Wolfgang Moritz. Their work appears in journals such as Diabetes, Diabetologia, Endocrinology, Diabetes Obesity and Metabolism and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact