Joseph J. Caumanns

887 total citations
8 papers, 268 citations indexed

About

Joseph J. Caumanns is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Joseph J. Caumanns has authored 8 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 3 papers in Genetics. Recurrent topics in Joseph J. Caumanns's work include Cancer Mechanisms and Therapy (5 papers), Chromatin Remodeling and Cancer (5 papers) and Protein Degradation and Inhibitors (3 papers). Joseph J. Caumanns is often cited by papers focused on Cancer Mechanisms and Therapy (5 papers), Chromatin Remodeling and Cancer (5 papers) and Protein Degradation and Inhibitors (3 papers). Joseph J. Caumanns collaborates with scholars based in Netherlands, Germany and Japan. Joseph J. Caumanns's co-authors include Steven de Jong, G. Bea A. Wisman, Katrien Berns, Ate G.J. van der Zee, René Bernards, Alexej Kedrov, Gert Jan Meersma, Arnold J. M. Driessen, Jeanine de Keyzer and E. Marielle Hijmans and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Cancer Research.

In The Last Decade

Joseph J. Caumanns

8 papers receiving 265 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Joseph J. Caumanns Netherlands	5	199	88	73	53	53	8	268
Abigail E. Witt United States	5	220 1.1×	15 0.2×	26 0.4×	84 1.6×	20 0.4×	5	275
Hannah F. Almubarak Saudi Arabia	5	252 1.3×	31 0.4×	13 0.2×	60 1.1×	94 1.8×	7	371
Manuela Tumiati Finland	6	266 1.3×	11 0.1×	44 0.6×	114 2.2×	36 0.7×	9	327
Rosario I. Corona United States	12	281 1.4×	12 0.1×	99 1.4×	26 0.5×	34 0.6×	20	387
Marcel Tuppi Germany	11	340 1.7×	18 0.2×	65 0.9×	191 3.6×	40 0.8×	15	466
Narendra K. Bairwa India	11	305 1.5×	26 0.3×	9 0.1×	95 1.8×	55 1.0×	21	412
Sandrine M. Caputo France	14	448 2.3×	59 0.7×	19 0.3×	83 1.6×	340 6.4×	29	607
Lena Morrill Gavarró United Kingdom	3	106 0.5×	18 0.2×	34 0.5×	54 1.0×	28 0.5×	3	183
Ryo Dairiki Japan	6	389 2.0×	21 0.2×	7 0.1×	23 0.4×	72 1.4×	7	442
Ilse Coene Belgium	9	254 1.3×	40 0.5×	25 0.3×	34 0.6×	231 4.4×	11	363

Countries citing papers authored by Joseph J. Caumanns

Since Specialization

Citations

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

Fields of papers citing papers by Joseph J. Caumanns

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph J. Caumanns. 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 Joseph J. Caumanns. The network helps show where Joseph J. Caumanns may publish in the future.

Co-authorship network of co-authors of Joseph J. Caumanns

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph J. Caumanns. A scholar is included among the top collaborators of Joseph J. Caumanns based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph J. Caumanns. Joseph J. Caumanns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Caumanns, Joseph J., Gert Jan Meersma, Evelien W. Duiker, et al.. (2025). Establishment and characterization of ovarian clear cell carcinoma patient-derived xenografts. Scientific Reports. 15(1). 4434–4434. 1 indexed citations

Caumanns, Joseph J., Arjan Kol, Gert Jan Meersma, et al.. (2019). Low-dose triple drug combination targeting the PI3K/AKT/mTOR pathway and the MAPK pathway is an effective approach in ovarian clear cell carcinoma. Cancer Letters. 461. 102–111. 44 indexed citations

Berns, Katrien, Joseph J. Caumanns, E. Marielle Hijmans, et al.. (2018). ARID1A mutation sensitizes most ovarian clear cell carcinomas to BET inhibitors. Oncogene. 37(33). 4611–4625. 77 indexed citations

Caumanns, Joseph J., G. Bea A. Wisman, Katrien Berns, Ate G.J. van der Zee, & Steven de Jong. (2018). ARID1A mutant ovarian clear cell carcinoma: A clear target for synthetic lethal strategies. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1870(2). 176–184. 71 indexed citations

Berns, Katrien, Joseph J. Caumanns, E. Marielle Hijmans, et al.. (2017). Abstract 3380: Synthetic lethal interaction between ARID1A mutation and BET bromodomain inhibition in ovarian clear cell carcinoma. Cancer Research. 77(13_Supplement). 3380–3380. 2 indexed citations

Caumanns, Joseph J., G. Bea A. Wisman, Katrien Berns, et al.. (2017). Abstract 1219: Integrative kinome exome sequencing and copy number profiling of ovarian clear cell carcinoma. Cancer Research. 77(13_Supplement). 1219–1219. 1 indexed citations

Kedrov, Alexej, Joseph J. Caumanns, Álvaro H. Crevenna, et al.. (2015). Role of the Cytosolic Loop C2 and the C Terminus of YidC in Ribosome Binding and Insertion Activity. Journal of Biological Chemistry. 290(28). 17250–17261. 24 indexed citations

Kedrov, Alexej, et al.. (2013). Elucidating the Native Architecture of the YidC: Ribosome Complex. Journal of Molecular Biology. 425(22). 4112–4124. 48 indexed citations

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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