Thomas Hoffmann

3.5k citations
35 papers · 1.6k indexed · h-index 18

Impact in

    • RNA Research and Splicing
    • Protein Degradation and Inhibitors
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Gut microbiota and health
    • RNA Interference and Gene Delivery
    • Ubiquitin and proteasome pathways

Papers in

Thomas Hoffmann

34 papers receiving 1.6k citations

Peers

Thomas Hoffmann
Comparison fields: 5 of 105
  • Molecular Biology 1.2k
  • Cancer Research 202
  • Cell Biology 186
  • Hematology 111
  • Hepatology 64
Replace Uma Sankar with:
Uma Sankar United States
Fabrice Allain France
Gioacchin Iannolo Italy
Viktor Wixler Germany
Gilles A. Spoden Germany
Bei Wang China
David E. Solow-Cordero United States
Vera M. Ruda United States
Stefan Vermeulen Belgium
Satoshi Yamasaki Japan
Thomas Hoffmann relative to Uma Sankar United States Uma Sankar's profile →
Citations per field
00.5×2.6×
Uma Sankar · 1×
Citations per year

Countries citing papers authored by Thomas Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20232
4 20236
5 202214
6 202024
7 201812
8 2018237
9 201872
10 201715
11 201796
12 201729
13 201519
14 201525
15 2014150
16 201429
17 2013443
18 201320
19 201230
20 20106

About Thomas Hoffmann

Thomas Hoffmann is a scholar working on Aging, Hepatology, Hematology, Molecular Biology and Cancer Research, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Protein Degradation and Inhibitors (4 papers), MicroRNA in disease regulation (4 papers), Ubiquitin and proteasome pathways (4 papers), Virus-based gene therapy research (3 papers), Hepatitis B Virus Studies (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (202 citations), Cell Biology (186 citations), Hematology (111 citations) and Hepatology (64 citations). Thomas Hoffmann has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Johannes Zuber, Matthias Muhar, Christof Fellmann, Barbara Hopfgartner, Mareike Roth, Inês Amorim Monteiro Barbosa, Johannes Popow, Bernd Hovemann, Harry Sokol and Julian Jude. Their work appears in journals such as eLife, Scientific Reports, Cell Reports, PLoS ONE and Nature Communications.

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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