Ulf Schulze‐Topphoff

2.6k citations
22 papers · 2.0k · h-index 16

Impact in

    • Sirtuins and Resveratrol in Medicine
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 7
    • Immune Cell Function and Interaction 3
    • Immune Response and Inflammation 3
    • Mast cells and histamine 2

Ulf Schulze‐Topphoff

22 papers receiving 1.9k citations

Peers

Ulf Schulze‐Topphoff
Comparison fields: 5 of 98
  • Geriatrics and Gerontology 165
  • Immunology 814
  • Neurology 293
  • Pathology and Forensic Medicine 581
  • Developmental Neuroscience 133
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Citations per field
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Citations per year

Countries citing papers authored by Ulf Schulze‐Topphoff

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Schulze‐Topphoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulf Schulze‐Topphoff. 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 Ulf Schulze‐Topphoff. The network helps show where Ulf Schulze‐Topphoff may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008380
2 2013318
3 2012263
4 2016244
5 2015229
6 200997
7 201282
8 200759
9 200958
10 201338
11 201435
12 201429
13 201628
14 201425
15 200722
16 202215
17 201514
18 20156
19 20146
20 20214

About Ulf Schulze‐Topphoff

Ulf Schulze‐Topphoff is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Oncology and Hematology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (7 papers), Multiple Sclerosis Research Studies (7 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Immune Cell Function and Interaction (3 papers), Immune Response and Inflammation (3 papers), Mast cells and histamine (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Geriatrics and Gerontology (165 citations), Immunology (814 citations), Neurology (293 citations), Pathology and Forensic Medicine (581 citations) and Developmental Neuroscience (133 citations). Ulf Schulze‐Topphoff has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Scott S. Zamvil, Michel Varrin‐Doyer, Collin M. Spencer, Bruce Cree, Raymond A. Sobel, Aparna Shetty, Frauke Zipp, Patricia A. Nelson, Orhan Aktaş and Timour Prozorovski. Their work appears in journals such as Neurology Neuroimmunology & Neuroinflammation, The Journal of Experimental Medicine, Neurology, Experimental Neurology and Nature Medicine.

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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