Sigrun R. Hofmann

1.9k citations
31 papers · 1.3k indexed · h-index 19
  • Immunology top 5%
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • IL-33, ST2, and ILC Pathways 3
    • Osteomyelitis and Bone Disorders Research 6
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions 4
  • Hematology top 10%
    • Inflammasome and immune disorders 12
    • Cell death mechanisms and regulation 4
    • Orthopedic Infections and Treatments 3

Sigrun R. Hofmann

31 papers receiving 1.3k citations

Peers

Sigrun R. Hofmann
Comparison fields: 5 of 79
  • Immunology 625
  • Rheumatology 395
  • Oncology 296
  • Hematology 95
  • Internal Medicine 26
Replace Keiko Yoshimoto with:
Keiko Yoshimoto Japan
Yoshio Ozaki Japan
Christof Iking‐Konert Germany
S. Trad France
Syuichi Koarada Japan
Kerstin Elvin Sweden
Cécile Contin‐Bordes France
Omri Snir Norway
S. Boulinguez France
Yumiko Sato Japan
Sigrun R. Hofmann relative to Keiko Yoshimoto Japan Keiko Yoshimoto's profile →
Citations per field
00.5×6.5×
Keiko Yoshimoto · 1×
Citations per year

Countries citing papers authored by Sigrun R. Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Sigrun R. Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sigrun R. Hofmann. 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 Sigrun R. Hofmann. The network helps show where Sigrun R. Hofmann may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202315
2 20223
3 202120
4 202024
5 20199
6 20185
7 201837
8 201737
9 2017158
10 201723
11 201727
12 201611
13 20158
14 20142
15 201210
16 201177
17 200326
18 200275
19 200136
20 199018

About Sigrun R. Hofmann

Sigrun R. Hofmann is a scholar working on Immunology, Rheumatology and Internal Medicine, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (12 papers), Osteomyelitis and Bone Disorders Research (6 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Cell death mechanisms and regulation (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), IL-33, ST2, and ILC Pathways (3 papers) and Orthopedic Infections and Treatments (3 papers). The work is most often cited by research in Immunology (625 citations), Rheumatology (395 citations) and Oncology (296 citations). Sigrun R. Hofmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include John J. O’Shea, Christian M. Hedrich, Massimo Gadina, Akio Morinobu, Wendy T. Watford, Gary C. Pien, Khuong B. Nguyen, Christine A. Biron, Rachelle Salomon and Franz Kapplusch. Their work appears in journals such as Clinical Immunology, The Journal of Immunology, Frontiers in Pediatrics, Molecular and Cellular Biology and Frontiers in Cell and Developmental Biology.

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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