T Witthöft

479 citations
10 papers · 386 · h-index 4

Impact in

    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Hepatitis C virus research 5
    • Hepatitis B Virus Studies 2
    • Liver Disease Diagnosis and Treatment 2
    • Cytomegalovirus and herpesvirus research 1
    • Pneumocystis jirovecii pneumonia detection and treatment 1

T Witthöft

8 papers receiving 375 citations

Peers

T Witthöft
Comparison fields: 5 of 72
  • Endocrinology 50
  • Immunology 149
  • Microbiology 36
  • Hepatology 45
  • Biotechnology 29
Replace Helen L. Pennington with:
Helen L. Pennington Australia
Sya N. Ukena Germany
R. S. Kamat India
Isabella Pesce Italy
Liljana Stevceva United States
Anukriti Mathur Australia
Anna Rydström Sweden
Xiaosui Jiang United States
Mariëtta M Ravesloot-Chávez United States
Shunfeng Cai China
T Witthöft relative to Helen L. Pennington Australia Helen L. Pennington's profile →
Citations per field
00.5×3.2×
Helen L. Pennington · 1×
Citations per year

Countries citing papers authored by T Witthöft

Since Specialization
Citations

This map shows the geographic impact of T Witthöft'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 T Witthöft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Witthöft more than expected).

Fields of papers citing papers by T Witthöft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1998250
2 199755
3 200744
4 200527
5 20043
6 20133
7 20072
8 20131
9 20121
10 20080

About T Witthöft

T Witthöft is a scholar working on Hepatology, Epidemiology, Immunology, Genetics and Infectious Diseases, having authored 10 papers that have together received 386 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Immune Response and Inflammation (2 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pediatric health and respiratory diseases (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Genetic factors in colorectal cancer (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Endocrinology (50 citations), Immunology (149 citations), Microbiology (36 citations), Hepatology (45 citations) and Biotechnology (29 citations). T Witthöft has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Martin F. Kagnoff, Tor Savidge, Lars Eckmann, Jung Mogg Kim, David C. Lowe, Wolfgang Holtmeier, Andreas Hennemann, Hermelita Winter, Klaus Fellermann and Martin Nitschke. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology, Journal of Hepatology, Digestive Diseases and Sciences and Journal of Viral Hepatitis.

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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