Jan Kramer

2.2k citations
69 papers · 1.8k · h-index 21

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Osteoarthritis Treatment and Mechanisms

Papers in

    • Mesenchymal stem cell research 11
    • Osteoarthritis Treatment and Mechanisms 12

Jan Kramer

65 papers receiving 1.7k citations

Peers

Jan Kramer
Comparison fields: 5 of 90
  • Genetics 346
  • Rheumatology 413
  • Toxicology 76
  • Molecular Medicine 65
  • Hepatology 78
Replace Valentina Giudice with:
Valentina Giudice Italy
Charalampos G. Pontikoglou Greece
Andreas Tiede Germany
Anna Piacentini Italy
Evy Lundgren-akerlund B Sweden
C Clavel France
Pedro Redondo Spain
Kazuma Ikeda Japan
Attila Szakos Sweden
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Citations per field
00.5×5×10.9×
Valentina Giudice · 1×
Citations per year

Countries citing papers authored by Jan Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000352
2 2010123
3 2009109
4 2002106
5 2008104
6 200696
7 201470
8 201567
9 201062
10 201048
11 201145
12 201242
13 200335
14 200835
15 200634
16 201429
17 201227
18 201427
19 200524
20 201422

About Jan Kramer

Jan Kramer is a scholar working on Genetics, Rheumatology, Toxicology, Hepatology and Transplantation, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Osteoarthritis Treatment and Mechanisms (12 papers), Mesenchymal stem cell research (11 papers), Hepatitis C virus research (7 papers), Forensic Toxicology and Drug Analysis (6 papers), Hepatitis B Virus Studies (5 papers), Clinical Laboratory Practices and Quality Control (4 papers) and Renal Transplantation Outcomes and Treatments (4 papers). The work is most often cited by research in Genetics (346 citations), Rheumatology (413 citations), Toxicology (76 citations), Molecular Medicine (65 citations) and Hepatology (78 citations). Jan Kramer has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Jürgen Rohwedel, Peter Schlenke, Kaomei Guan, Peter K Müller, Anna M. Wobus, Ulrich Lindner, J. Rohwedel, Florian Böhrnsen, Gunnar Hargus and Nicole Rotter. Their work appears in journals such as Journal of Hepatology, Forensic Science International, Cells Tissues Organs, Clinical Chemistry and Stem Cell 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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