H. Mann

2.7k citations
90 papers · 1.6k · h-index 23

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Spondyloarthritis Studies and Treatments
    • Eosinophilic Disorders and Syndromes
  • Immunology top 10%

Papers in

    • Inflammatory Myopathies and Dermatomyositis 38
    • Rheumatoid Arthritis Research and Therapies 16
    • Spondyloarthritis Studies and Treatments 9

H. Mann

87 papers receiving 1.5k citations

Peers

H. Mann
Comparison fields: 5 of 84
  • Rheumatology 542
  • Immunology 335
  • Epidemiology 491
  • Cancer Research 174
  • Hematology 104
Replace Yuki Nanke with:
Yuki Nanke Japan
Eric L. Greidinger United States
Efstathia K. Kapsogeorgou Greece
Yoshinori Katada Japan
Eva Balada Spain
Bert Vander Cruyssen Belgium
Guillaume Page France
Yasumori Izumi Japan
Adrianos Nezos Greece
Yoshiaki Tokano Japan
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Citations per field
00.5×4.5×
Yuki Nanke · 1×
Citations per year

Countries citing papers authored by H. Mann

Since Specialization
Citations

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

Fields of papers citing papers by H. Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013163
2 2017105
3 200894
4 201169
5 201962
6
Anti-TNF therapy of ankylosing spondylitis in clinical practice. Results from the Czech national registry ATTRA.
201056
7 201455
8 201554
9 201553
10 201651
11 202335
12 201134
13 201033
14 201832
15 201730
16 201728
17 199628
18 201827
19 201527
20 200825

About H. Mann

H. Mann is a scholar working on Epidemiology, Rheumatology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (38 papers), Rheumatoid Arthritis Research and Therapies (16 papers), Spondyloarthritis Studies and Treatments (9 papers), S100 Proteins and Annexins (8 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), Systemic Sclerosis and Related Diseases (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Biomarkers in Disease Mechanisms (4 papers). The work is most often cited by research in Rheumatology (542 citations), Immunology (335 citations), Epidemiology (491 citations), Cancer Research (174 citations) and Hematology (104 citations). H. Mann has collaborated with scholars based in Czechia, United States and United Kingdom. Frequent co-authors include Jiří Vencovský, Karel Pavelká, Ladislav Šenolt, Martin Klein, Lenka Pleštilová, Hana Hulejová, Šárka Forejtová, Ondřej Pecha, Ingrid E. Lundberg and Mária Filková. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken, Arthritis Research & Therapy, PLoS ONE and Current Rheumatology Reports.

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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