Jörn Kekow

4.1k citations
81 papers · 3.0k indexed · 1 hit paper · h-index 25
Topics
Rheumatoid Arthritis Research and Therapies (29 papers)Autoimmune and Inflammatory Disorders Research (13 papers)Systemic Lupus Erythematosus Research (13 papers)

In The Last Decade

Jörn Kekow

71 papers receiving 2.9k citations

Hit Papers

Infections in patients with rheumatoid arthritis treated ...20052026201220192005100200300400500

Peers

Jörn Kekow
Comparison fields: 5 of 119
  • Rheumatology 1.6k
  • Immunology 719
  • Hematology 565
  • Molecular Biology 526
  • Genetics 379
Replace Mitsuhiro Takeno with:
Mitsuhiro Takeno Japan
David E. Yocum United States
Atsuhisa Ueda Japan
Diego Kyburz Switzerland
Nora G. Singer United States
Francesco Puppo Italy
Roger W. Chapman United Kingdom
Michael Sticherling Germany
John G. Curd United States
Richard K. Shadduck United States
Jörn Kekow relative to Mitsuhiro Takeno Japan Mitsuhiro Takeno's profile →
Citations per field
00.5×1.5×2.4×
Mitsuhiro Takeno · 1×
Citations per year

Countries citing papers authored by Jörn Kekow

Since Specialization
Citations

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

Fields of papers citing papers by Jörn Kekow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörn Kekow

This figure shows the co-authorship network connecting the top 25 collaborators of Jörn Kekow. A scholar is included among the top collaborators of Jörn Kekow 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 Jörn Kekow. Jörn Kekow 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
#WorkIndexed citations
1 0
2 17
3 6
4 15
5 12
6
Differences in biologic dose-escalation, non-biologic and steroid intensification among three anti-TNF agents: evidence from clinical practice.
48
7 56
8 92
9 0
10 0
11 0
12 0
13
Infections in patients with rheumatoid arthritis treated with biologic agentsbreakdown →
512
14 126
15 62
16 12
17 21
18 24
19 74
20 72

About Jörn Kekow

Jörn Kekow is a scholar working on Rheumatology, Hematology and Genetics, having authored 81 papers that have together received 3.0k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (29 papers), Autoimmune and Inflammatory Disorders Research (13 papers) and Systemic Lupus Erythematosus Research (13 papers). The work is most often cited by research in Rheumatology (1.6k citations), Hematology (565 citations) and Genetics (379 citations). Jörn Kekow has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include A. Zink, Joachim Listing, Anja Strangfeld, Martin Lotz, Dennis A. Carson, Wolfgang L. Gross, Erika Gromnica‐Ihle, Matthias Schneider, Rolf Rau and S. Kary. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

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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