G. Kl�ppel

3.5k citations
30 papers · 2.6k · h-index 18

Impact in

  • Oncology top 2%
    • Pancreatic and Hepatic Oncology Research
    • IgG4-Related and Inflammatory Diseases

Papers in

    • Pancreatitis Pathology and Treatment 9
    • Pancreatic function and diabetes 7
    • Pancreatic and Hepatic Oncology Research 14

G. Kl�ppel

30 papers receiving 2.5k citations

Peers

G. Kl�ppel
Comparison fields: 5 of 70
  • Oncology 996
  • Rheumatology 481
  • Surgery 1.4k
  • Epidemiology 763
  • Endocrinology, Diabetes and Metabolism 314
Replace Randall D. Gaz with:
Randall D. Gaz United States
Fumiyoshi Fujishima Japan
Ricardo González‐Cámpora Spain
Helene Geddert Germany
Riruke Maruyama Japan
Jin Hee Sohn South Korea
Christine Do Cao France
Andrew Demaine United Kingdom
Branca Cavaco Portugal
Chan Choi South Korea
G. Kl�ppel relative to Randall D. Gaz United States Randall D. Gaz's profile →
Citations per field
00.5×3.8×
Randall D. Gaz · 1×
Citations per year

Countries citing papers authored by G. Kl�ppel

Since Specialization
Citations

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

Fields of papers citing papers by G. Kl�ppel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Kl�ppel. 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 G. Kl�ppel. The network helps show where G. Kl�ppel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004468
2 1995394
3 1995361
4 1981157
5 2003147
6 1987131
7 1980119
8 1999118
9 1986111
10 2000108
11 200386
12 200072
13 198452
14 199528
15 198027
16 200326
17 200423
18 197521
19 200417
20 198616

About G. Kl�ppel

G. Kl�ppel is a scholar working on Surgery, Oncology, Epidemiology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (14 papers), Neuroendocrine Tumor Research Advances (9 papers), Pancreatitis Pathology and Treatment (9 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Research (5 papers), Diabetes and associated disorders (5 papers), IgG4-Related and Inflammatory Diseases (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Oncology (996 citations), Rheumatology (481 citations), Surgery (1.4k citations), Epidemiology (763 citations) and Endocrinology, Diabetes and Metabolism (314 citations). G. Kl�ppel has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Luc Bouwens, Jutta L�ttges, Philipp U. Heitz, C. Capella, H. H�fler, Enrico Solcia, Giorgio Cavallini, Paolo Pederzoli, Paola Capelli and Daniel S. Longnecker. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Diabetologia, Cancer, Histochemistry and Cell Biology and International Journal of Colorectal Disease.

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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