C. Gropp

1.1k citations
73 papers · 854 · 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

    • Lung Cancer Research Studies 30
    • Peptidase Inhibition and Analysis 7
    • Cancer Immunotherapy and Biomarkers 5
    • Neuroendocrine Tumor Research Advances 27

C. Gropp

58 papers receiving 775 citations

Peers

C. Gropp
Comparison fields: 5 of 82
  • Oncology 397
  • Epidemiology 228
  • Pulmonary and Respiratory Medicine 190
  • Neurology 83
  • Behavioral Neuroscience 20
Replace J Dämmrich with:
J Dämmrich Germany
P Davaris Greece
C.R. Franks United Kingdom
İ. Çeli̇k Germany
Matteo Vergati Italy
Terri Rice United States
H Yamabe Japan
Virgil Gadaleanu Sweden
F. D. Kitchin United States
Matthew J. Goldstein United States
C. Gropp relative to J Dämmrich Germany J Dämmrich's profile →
Citations per field
00.5×2.8×
J Dämmrich · 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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198896
2 198077
3 198776
4 198769
5 197864
6 198753
7 198749
8 198135
9 198229
10 199424
11 198223
12 198520
13 197919
14 198517
15 198416
16 198516
17 198015
18 19919
19 20028
20 19778

About C. Gropp

C. Gropp is a scholar working on Oncology, Epidemiology, Pulmonary and Respiratory Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 73 papers that have together received 854 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (30 papers), Neuroendocrine Tumor Research Advances (27 papers), Lung Cancer Treatments and Mutations (13 papers), Peptidase Inhibition and Analysis (7 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). The work is most often cited by research in Oncology (397 citations), Epidemiology (228 citations), Pulmonary and Respiratory Medicine (190 citations), Neurology (83 citations) and Behavioral Neuroscience (20 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, P. Drings, Karl-Heinz Pflüger, G. Aum�ller, M. Gramse, Kurt Neumann and Paul Kiefer. Their work appears in journals such as Recent results in cancer research, Journal of Cancer Research and Clinical Oncology, British Journal of Cancer, Oncology and Journal of Molecular Medicine.

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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