C. Jaeger

965 citations
33 papers · 660 · h-index 14

Impact in

Papers in

    • Pancreatic function and diabetes 18
    • Pancreatitis Pathology and Treatment 2
    • Diabetes and associated disorders 19

C. Jaeger

32 papers receiving 639 citations

Peers

C. Jaeger
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 300
  • Genetics 415
  • Gastroenterology 68
  • Surgery 456
  • Transplantation 22
Replace Marco Capizzi with:
Marco Capizzi Italy
Katelijn Decochez Belgium
Taylor M. Triolo United States
Marie Louise Healy Ireland
S A Ivarsson Sweden
Jørgen Knudtzon Norway
S. Nousia‐Arvanitakis Greece
G Multari Italy
James Greening United Kingdom
E. Sabbah Finland
C. Jaeger relative to Marco Capizzi Italy Marco Capizzi's profile →
Citations per field
00.5×7.3×
Marco Capizzi · 1×
Citations per year

Countries citing papers authored by C. Jaeger

Since Specialization
Citations

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

Fields of papers citing papers by C. Jaeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003135
2 200196
3 199780
4 200931
5 199729
6 200027
7 200425
8
Distinct autoantibodies against exocrine pancreatic antigens in European patients with type 1 diabetes mellitus and non-alcoholic chronic pancreatitis.
200825
9 199724
10 200122
11 199617
12 199417
13 199915
14 199613
15 200412
16 200811
17 20089
18 20079
19 20108
20 19948

About C. Jaeger

C. Jaeger is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology, having authored 33 papers that have together received 660 indexed citations. Recurring topics across this work include Diabetes and associated disorders (19 papers), Pancreatic function and diabetes (18 papers), Diabetes Management and Research (14 papers), TGF-β signaling in diseases (2 papers), Pancreatitis Pathology and Treatment (2 papers), Cell Adhesion Molecules Research (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (300 citations), Genetics (415 citations), Gastroenterology (68 citations), Surgery (456 citations) and Transplantation (22 citations). C. Jaeger has collaborated with scholars based in Germany, United Kingdom and Denmark. Frequent co-authors include Reinhard G. Bretzel, Michael Eckhard, Erifili Hatziagelaki, Mathias D. Brendel, R. Petzoldt, Bernhard J. Hering, K. Federlin, Philip D. Hardt, Hans U. Kloer and Annette Hauenschild. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Acta Diabetologica, Animal Genetics, Diabetes and Journal of Animal Breeding and Genetics.

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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