Jan Böhm

3.0k total citations
70 papers, 1.4k citations indexed

About

Jan Böhm is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Jan Böhm has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 21 papers in Pathology and Forensic Medicine and 15 papers in Cancer Research. Recurrent topics in Jan Böhm's work include Genetic factors in colorectal cancer (16 papers), Cancer Immunotherapy and Biomarkers (15 papers) and Colorectal Cancer Treatments and Studies (14 papers). Jan Böhm is often cited by papers focused on Genetic factors in colorectal cancer (16 papers), Cancer Immunotherapy and Biomarkers (15 papers) and Colorectal Cancer Treatments and Studies (14 papers). Jan Böhm collaborates with scholars based in Finland, United States and Sweden. Jan Böhm's co-authors include Jukka‐Pekka Mecklin, Veli‐Matti Kosma, Risto Pirinen, Maarit Ahtiainen, Risto Johansson, Juha P. Väyrynen, Ilmo Kellokumpu, Teijo Kuopio, Toni T. Seppälä and Kirsi Ropponen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Jan Böhm

64 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Böhm Finland 22 717 478 361 304 205 70 1.4k
Kimberley Howarth United Kingdom 15 347 0.5× 631 1.3× 486 1.3× 384 1.3× 159 0.8× 20 1.4k
Miki Hashimura Japan 23 396 0.6× 731 1.5× 128 0.4× 255 0.8× 169 0.8× 56 1.4k
Yvonne T.M. Tsang United States 18 329 0.5× 533 1.1× 161 0.4× 211 0.7× 166 0.8× 24 1.2k
Julie Koeman United States 20 365 0.5× 923 1.9× 173 0.5× 462 1.5× 93 0.5× 26 1.5k
Kenneth R. Shroyer United States 22 350 0.5× 860 1.8× 114 0.3× 229 0.8× 121 0.6× 33 1.5k
Gunnar Wrobel Germany 19 275 0.4× 758 1.6× 271 0.8× 287 0.9× 180 0.9× 21 1.5k
Keisuke Kurose Japan 14 312 0.4× 634 1.3× 191 0.5× 310 1.0× 93 0.5× 30 1.0k
Daniel Wetterskog United Kingdom 20 604 0.8× 868 1.8× 166 0.5× 527 1.7× 65 0.3× 42 1.6k
Jolanta Kupryjańczyk Poland 23 485 0.7× 839 1.8× 272 0.8× 472 1.6× 118 0.6× 70 1.7k
Hena R. Ashar United States 12 522 0.7× 1.2k 2.5× 122 0.3× 380 1.3× 118 0.6× 13 1.6k

Countries citing papers authored by Jan Böhm

Since Specialization
Citations

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

Fields of papers citing papers by Jan Böhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Böhm

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Böhm. A scholar is included among the top collaborators of Jan Böhm 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 Jan Böhm. Jan Böhm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jedličková, Hana, et al.. (2025). Effect of Systemic Therapies on Skin Bacteriome in Patients with Atopic Dermatitis: A Pilot Prospective Study. Journal of Investigative Dermatology. 146(2). 483–492.e8.
2.
Micarelli, Elisa, Lauri Moilanen, Matti Annala, et al.. (2025). NOUS-209 Off-the-shelf Immunotherapy Has the Potential to Hit Primary and Metachronous Colorectal and Urothelial Cancers in Lynch Syndrome. Molecular Cancer Therapeutics. OF1–OF12.
4.
Sirniö, Päivi, Anne Tuomisto, Maarit Ahtiainen, et al.. (2025). CDX2 and SATB2 loss are associated with myeloid cell infiltration and poor survival in colorectal cancer. Cancer Immunology Immunotherapy. 74(4). 111–111. 1 indexed citations
5.
Böhm, Jan, et al.. (2024). Resistome in the indoor dust samples from workplaces and households: a pilot study. Frontiers in Cellular and Infection Microbiology. 14. 1484100–1484100.
6.
Wirta, Erkki‐Ville, Maarit Ahtiainen, Marja Hyöty, et al.. (2024). The impact of preoperative treatments on the immune environment of rectal cancer. Apmis. 132(12). 1046–1060. 2 indexed citations
7.
Böhm, Jan, et al.. (2024). Tongue microbiota in relation to the breathing preference in children undergoing orthodontic treatment. BMC Oral Health. 24(1). 1259–1259. 3 indexed citations
8.
Väyrynen, Sara A., Teijo Kuopio, Maarit Ahtiainen, et al.. (2024). Multiplexed analysis of macrophage polarisation in pulmonary metastases of microsatellite stable colorectal cancer. Cancer Immunology Immunotherapy. 73(3). 59–59. 1 indexed citations
9.
Härkönen, Jouni, Sara A. Väyrynen, Maarit Ahtiainen, et al.. (2024). Quantitative Multiplexed Analysis of Indoleamine 2,3-Dioxygenase (IDO) and Arginase-1 (ARG1) Expression and Myeloid Cell Infiltration in Colorectal Cancer. Modern Pathology. 37(4). 100450–100450. 4 indexed citations
10.
Rintala, Jukka, Juha P. Väyrynen, Jan Böhm, et al.. (2022). Monocarboxylate Transporters 1 and 4 and Prognosis in Small Bowel Neuroendocrine Tumors. Cancers. 14(10). 2552–2552. 3 indexed citations
11.
Väyrynen, Juha P., et al.. (2021). CD3+, CD8+, CD4+ and FOXP3+ T Cells in the Immune Microenvironment of Small Bowel Neuroendocrine Tumors. SHILAP Revista de lepidopterología. 9(2). 42–42. 6 indexed citations
12.
Kemi, Niko, Juha P. Väyrynen, Olli Helminen, et al.. (2020). Immune Cell Infiltrate and Prognosis in Gastric Cancer. Cancers. 12(12). 3604–3604. 14 indexed citations
13.
Kondelin, Johanna, Alexandra E. Gylfe, Tomas Tanskanen, et al.. (2017). Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer. Cancer Research. 77(15). 4078–4088. 14 indexed citations
14.
Väyrynen, Juha P. & Jan Böhm. (2016). [Inflammation and cancer - colorectal carcinoma as an example].. PubMed. 132(2). 137–44. 1 indexed citations
15.
Kondelin, Johanna, Sari Tuupanen, Alexandra E. Gylfe, et al.. (2015). 3′-UTR poly(T/U) repeat of EWSR1 is altered in microsatellite unstable colorectal cancer with nearly perfect sensitivity. Familial Cancer. 14(3). 449–453. 2 indexed citations
16.
Aarnio, Markku, Jan Böhm, Kyösti Nuorva, et al.. (2012). Absence of cytomegalovirus from the gastrointestinal tract of patients with active Crohn's disease.. PubMed. 26(1). 151–5. 5 indexed citations
18.
Pirinen, Risto, et al.. (2006). Expression of matrix metalloproteinases 7 and 9 in non-small cell lung cancer. Lung Cancer. 51(3). 313–321. 61 indexed citations
19.
Kemppainen, Tarja, Raija Tammi, Markku Tammi, et al.. (2005). Elevated expression of hyaluronan and its CD44 receptor in the duodenal mucosa of coeliac patients. Histopathology. 46(1). 64–72. 6 indexed citations
20.
Pirinen, Risto, Raija Tammi, Markku Tammi, et al.. (2001). Prognostic value of hyaluronan expression in non‐small‐cell lung cancer: Increased stromal expression indicates unfavorable outcome in patients with adenocarcinoma. International Journal of Cancer. 95(1). 12–17. 6 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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