Jan Janßen

2.9k citations
66 papers · 1.4k · h-index 17

Impact in

Papers in

    • Renal cell carcinoma treatment 9
    • Advanced Breast Cancer Therapies 8
    • Lung Cancer Treatments and Mutations 8
    • Cancer Treatment and Pharmacology 7
    • Colorectal Cancer Treatments and Studies 5
    • HER2/EGFR in Cancer Research 4

Jan Janßen

56 papers receiving 1.4k citations

Peers

Jan Janßen
Comparison fields: 5 of 92
  • Oncology 471
  • Gastroenterology 86
  • Pulmonary and Respiratory Medicine 466
  • Surgery 449
  • Radiology, Nuclear Medicine and Imaging 217
Replace Luca Balzarini with:
Luca Balzarini Italy
Freek Daams Netherlands
Pamela J. DiPiro United States
E. Moskovic United Kingdom
Ajaykumar C. Morani United States
Hitoshi Sugiura Japan
Takeshi Kodaira Japan
Maria Chiara Petrone Italy
Joung‐Ho Han South Korea
Eugenio Villa Italy
Jan Janßen relative to Luca Balzarini Italy Luca Balzarini's profile →
Citations per field
00.5×2.9×
Luca Balzarini · 1×
Citations per year

Countries citing papers authored by Jan Janßen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Janßen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007202
2 2016153
3 2011136
4 2011127
5 1997105
6 200783
7 200171
8 200471
9 201965
10 201946
11 201041
12 201333
13 200927
14 198824
15 201522
16 199720
17 199619
18 200816
19 200316
20 200815

About Jan Janßen

Jan Janßen is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Cancer Research and Materials Chemistry, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (9 papers), Advanced Breast Cancer Therapies (8 papers), Lung Cancer Treatments and Mutations (8 papers), Cancer Treatment and Pharmacology (7 papers), Colorectal Cancer Treatments and Studies (5 papers), Machine Learning in Materials Science (5 papers), Breast Cancer Treatment Studies (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Oncology (471 citations), Gastroenterology (86 citations), Pulmonary and Respiratory Medicine (466 citations), Surgery (449 citations) and Radiology, Nuclear Medicine and Imaging (217 citations). Jan Janßen has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include L Greiner, Uwe Will, C. Diétrich, Stefan Kahl, Roald Flesland Havre, Paolo Giorgio Arcidiacono, Marc Giovannini, Adrian Săftoiu, Michael Hocke and Julio Iglesias‐García. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Gastrointestinal Endoscopy, Endoscopy and Cancer Research.

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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