Jens M. Kelm

4.6k total citations · 2 hit papers
40 papers, 3.3k citations indexed

About

Jens M. Kelm is a scholar working on Biomedical Engineering, Oncology and Molecular Biology. According to data from OpenAlex, Jens M. Kelm has authored 40 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 17 papers in Oncology and 14 papers in Molecular Biology. Recurrent topics in Jens M. Kelm's work include 3D Printing in Biomedical Research (26 papers), Cancer Cells and Metastasis (14 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Jens M. Kelm is often cited by papers focused on 3D Printing in Biomedical Research (26 papers), Cancer Cells and Metastasis (14 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Jens M. Kelm collaborates with scholars based in Switzerland, Austria and Germany. Jens M. Kelm's co-authors include Martin Fussenegger, Lars K. Nielsen, Irina Agarkova, Nicholas Timmins, Simon Messner, Wolfgang Moritz, Miriam Zimmermann, Wilhelm Krek, Claudio R. Thoma and Stefan Schlatter and has published in prestigious journals such as PLoS ONE, Nature Methods and Cancer Research.

In The Last Decade

Jens M. Kelm

40 papers receiving 3.2k citations

Hit Papers

Method for generation of homogeneous multicellular tumor ... 2003 2026 2010 2018 2003 2014 200 400 600

Peers

Jens M. Kelm
Comparison fields: 5 of 129
  • Biomedical Engineering 2.0k
  • Oncology 985
  • Molecular Biology 915
  • Surgery 460
  • Cell Biology 423
Replace Gregory H. Underhill with:
Gregory H. Underhill United States
Eliza Li Shan Fong Singapore
Naoto Koike Japan
Sigrid A. Langhans United States
Elisabete C. Costa Portugal
Chiara Arienti Italy
Amy Y. Hsiao United States
Ioannis K. Zervantonakis United States
Susan Breslin Ireland
Claudia Dittfeld Germany
Gregory H. Underhill United States View profile →
Citations per field, relative to Jens M. Kelm
Jens M. Kelm · 1×
Citations per year, relative to Jens M. Kelm
Jens M. Kelm · 1×

Countries citing papers authored by Jens M. Kelm

Since Specialization
Citations

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

Fields of papers citing papers by Jens M. Kelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jens M. Kelm. 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 Jens M. Kelm. The network helps show where Jens M. Kelm may publish in the future.

Co-authorship network of co-authors of Jens M. Kelm

This figure shows the co-authorship network connecting the top 25 collaborators of Jens M. Kelm. A scholar is included among the top collaborators of Jens M. Kelm 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 Jens M. Kelm. Jens M. Kelm 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
# Work Indexed citations
1 1
2 23
3 28
4 53
5 55
6 108
7 6
8 33
9 41
10 43
11 57
12 70
13
3D cell culture systems modeling tumor growth determinants in cancer target discovery breakdown →
382
14 130
15 57
16 247
17 100
18 2
19 238
20 125

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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