H.-J. Thiesen

628 citations
20 papers · 500 · h-index 13

Impact in

  • Rheumatology top 10%
    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • Osteoarthritis Treatment and Mechanisms

Papers in

    • Renal and related cancers 4
    • Genomics and Chromatin Dynamics 3
    • Molecular Biology Techniques and Applications 2
    • Machine Learning in Bioinformatics 1
    • Cancer-related molecular mechanisms research 2

H.-J. Thiesen

19 papers receiving 492 citations

Peers

H.-J. Thiesen
Comparison fields: 5 of 69
  • Rheumatology 118
  • Cancer Research 62
  • Immunology 86
  • Molecular Biology 274
  • Obstetrics and Gynecology 30
Replace Jubilee B. Robinson with:
Jubilee B. Robinson United States
Yong Shao China
Éva Pócsik Hungary
Judy Walls United States
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Citations per field
00.5×3.6×
Jubilee B. Robinson · 1×
Citations per year

Countries citing papers authored by H.-J. Thiesen

Since Specialization
Citations

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

Fields of papers citing papers by H.-J. Thiesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.-J. Thiesen. 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 H.-J. Thiesen. The network helps show where H.-J. Thiesen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2010111
2
Multiple genes encoding zinc finger domains are expressed in human T cells.
199067
3 200339
4 200936
5 200432
6 200831
7 199225
8 200022
9 200821
10 201720
11 201320
12 200015
13 199114
14 200212
15 201712
16 20119
17 20027
18 19994
19
Gene expression profiling of CNTF-overexpressing rat striatal progenitor cells (ST14A) indicates improved stress-response during early stage of differentiation
20032
20 20121

About H.-J. Thiesen

H.-J. Thiesen is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Immunology, having authored 20 papers that have together received 500 indexed citations. Recurring topics across this work include Renal and related cancers (4 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related molecular mechanisms research (2 papers), Molecular Biology Techniques and Applications (2 papers), Renal cell carcinoma treatment (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Machine Learning in Bioinformatics (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Rheumatology (118 citations), Cancer Research (62 citations), Immunology (86 citations), Molecular Biology (274 citations) and Obstetrics and Gynecology (30 citations). H.-J. Thiesen has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Dirk Koczan, Roland Berger, M.F. Rousseau-Merck, Saleh Ibrahim, Christine Seyfert, Heinrich J. Huber, Henning Witt, Veit Krenn, J. Zacher and J. Neidel. Their work appears in journals such as Nucleic Acids Research, Genes and Immunity, Placenta, Neurology and Human Genetics.

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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