C. Gropp

1.1k citations
62 papers · 775 · h-index 16

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Peptidase Inhibition and Analysis
  • Epidemiology top 10%
    • Neuroendocrine Tumor Research Advances

Papers in

C. Gropp

53 papers receiving 725 citations

Peers

C. Gropp
Comparison fields: 5 of 81
  • Oncology 356
  • Epidemiology 196
  • Behavioral Neuroscience 19
  • Pulmonary and Respiratory Medicine 157
  • Neurology 70
Replace P Davaris with:
P Davaris Greece
C.R. Franks United Kingdom
Matteo Vergati Italy
Virgil Gadaleanu Sweden
Terri Rice United States
K Yasukawa Japan
Matthew J. Goldstein United States
Shin‐ichiro Takai Japan
Oldham Rk United States
Fumitaka Terabe Japan
C. Gropp relative to P Davaris Greece P Davaris's profile →
Citations per field
00.5×3.3×
P Davaris · 1×
Citations per year

Countries citing papers authored by C. Gropp

Since Specialization
Citations

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

Fields of papers citing papers by C. Gropp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198895
2 198774
3 198068
4 198762
5 197857
6 198746
7 198745
8 198132
9 198225
10 199422
11 198221
12 197918
13 198517
14 198415
15 198515
16 198515
17 198015
18 20028
19 19778
20 19857

About C. Gropp

C. Gropp is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 775 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (27 papers), Neuroendocrine Tumor Research Advances (22 papers), Lung Cancer Treatments and Mutations (11 papers), Peptidase Inhibition and Analysis (7 papers), Glycosylation and Glycoproteins Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Oncology (356 citations), Epidemiology (196 citations), Behavioral Neuroscience (19 citations), Pulmonary and Respiratory Medicine (157 citations) and Neurology (70 citations). C. Gropp has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include K. Havemann, Gerold Bepler, Gabriele Jaques, Rolf Holle, Karl-Heinz Pflüger, G. Aum�ller, M. Gramse, Kurt Neumann, Paul Kiefer and P. Drings. Their work appears in journals such as Recent results in cancer research, British Journal of Cancer, Journal of Cancer Research and Clinical Oncology, Journal of Molecular Medicine and Cancer.

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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