Hans Schambye

2.1k citations
35 papers · 1.5k · h-index 22

Impact in

Papers in

    • Receptor Mechanisms and Signaling 9
    • Galectins and Cancer Biology 15
    • Macrophage Migration Inhibitory Factor 5

Hans Schambye

35 papers receiving 1.5k citations

Peers

Hans Schambye
Comparison fields: 5 of 123
  • Immunology 469
  • Cellular and Molecular Neuroscience 339
  • Nephrology 114
  • Molecular Biology 967
  • Gastroenterology 59
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Li Zhu China
Paramita Ray United States
Ágnes Balogh Hungary
Ahmed Zaid Sweden
Andrew Booth United Kingdom
Haiping Wang China
Govindasamy Kumaramanickavel India
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Citations per field
00.5×10.9×
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Citations per year

Countries citing papers authored by Hans Schambye

Since Specialization
Citations

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

Fields of papers citing papers by Hans Schambye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016151
2 1994150
3 1994110
4 2019104
5 200099
6 200394
7 199584
8 199579
9 201973
10 200872
11 199762
12 202262
13 201660
14 199459
15 199239
16 199529
17 199327
18
Bicarbonate is not the ultimate answer to the biocompatibility problems of CAPD solutions: a cytotoxicity test of CAPD solutions and effluents.
199227
19 199626
20 202325

About Hans Schambye

Hans Schambye is a scholar working on Molecular Biology, Immunology, Oncology, Nephrology and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (15 papers), Receptor Mechanisms and Signaling (9 papers), Peptidase Inhibition and Analysis (6 papers), Renin-Angiotensin System Studies (5 papers), Dialysis and Renal Disease Management (5 papers), Macrophage Migration Inhibitory Factor (5 papers), Gastrointestinal motility and disorders (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Immunology (469 citations), Cellular and Molecular Neuroscience (339 citations), Nephrology (114 citations), Molecular Biology (967 citations) and Gastroenterology (59 citations). Hans Schambye has collaborated with scholars based in Denmark, Sweden and United Kingdom. Frequent co-authors include Siv A. Hjorth, Thue W. Schwartz, William J. Greenlee, Ulrik Gether, Hakon Leffler, Ulf J. Nilsson, Alison C. MacKinnon, Derk J. Bergsma, Ganesh M. Sathe and Tariq Sethi. Their work appears in journals such as Peritoneal Dialysis International, Journal of Biological Chemistry, Journal of Medicinal Chemistry, Gastroenterology and Molecular Pharmacology.

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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