U Kiesel

1.0k citations
37 papers · 917 · h-index 16

Impact in

Papers in

    • Diabetes and associated disorders 27
    • Pancreatic function and diabetes 20

U Kiesel

34 papers receiving 862 citations

Peers

U Kiesel
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 411
  • Genetics 556
  • Surgery 505
  • Immunology 229
  • Physiology 108
Replace Mara Suleiman with:
Mara Suleiman Italy
Stacey Fynch Australia
S Hügl Germany
Liora S. Katz United States
Ryan Galasso United States
Ja Young Kim-Muller United States
Aida Habibovic United States
Akira Matsutani Japan
Kwan Yi Chu Australia
Fabienne T. Schulthess United States
U Kiesel relative to Mara Suleiman Italy Mara Suleiman's profile →
Citations per field
00.5×3.5×
Mara Suleiman · 1×
Citations per year

Countries citing papers authored by U Kiesel

Since Specialization
Citations

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

Fields of papers citing papers by U Kiesel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985151
2 1988141
3 199181
4 199051
5 198647
6 198638
7 199234
8
Interleukin-2-dependent control of disease development in spontaneously diabetic BB rats.
199034
9 198033
10 198027
11 198325
12 198325
13 198122
14
Effects of radical scavengers on the development of experimental diabetes.
199022
15 198220
16
Strain dependency of the transfer of experimental immune insulitis in mice.
198115
17
Autoantibodies to insulin as serum markers for autoimmune insulitis.
198613
18
Cellular immune reactions against pancreatic islets as a consequence of graft versus host disease.
198112
19 198612
20 198912

About U Kiesel

U Kiesel is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Immunology, having authored 37 papers that have together received 917 indexed citations. Recurring topics across this work include Diabetes and associated disorders (27 papers), Pancreatic function and diabetes (20 papers), Diabetes Management and Research (14 papers), Metabolism, Diabetes, and Cancer (5 papers), T-cell and B-cell Immunology (3 papers), Diabetes Treatment and Management (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (411 citations), Genetics (556 citations), Surgery (505 citations), Immunology (229 citations) and Physiology (108 citations). U Kiesel has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Hubert Kolb, Victoria Kolb-Bachofen, Stefan E. Epstein, G. Freytag, K D Kröncke, Volker Burkart, Jürgen Zielasek, V. Kolb‐Bachofen, Ulrich Treichel and Uta Opitz. Their work appears in journals such as Diabetologia, Immunology Letters, Journal of Autoimmunity, Diabetes and Hormone and Metabolic Research.

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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