T. Hoffmann

20 papers receiving 533 citations

Peers

T. Hoffmann
Comparison fields: 5 of 85
  • Virology 58
  • Microbiology 30
  • Oncology 122
  • Cellular and Molecular Neuroscience 81
  • Computational Mechanics 82
Replace Keitarou Saiki with:
Keitarou Saiki Japan
Robert G. Rohwer United States
C.R. McEwen United States
Shigeyuki TANABE Japan
Daniela Roth United States
Michal Rymaszewski United States
Meng How Tan Singapore
Noelene S. Quinsey Australia
Josef Rosenberg Czechia
Mehmet İnan Türkiye
T. Hoffmann relative to Keitarou Saiki Japan Keitarou Saiki's profile →
Citations per field
00.5×9.7×
Keitarou Saiki · 1×
Citations per year

Countries citing papers authored by T. Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by T. Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. 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 T. Hoffmann Line = papers co-authored together T. Hoffmann 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 199396
2 200483
3 201463
4 200361
5 200960
6 199948
7 200429
8 200320
9 201116
10 200412
11 201512
12 201011
13 200411
14 20059
15 19788
16 20147
17 20165
18 20103
19
[Phenothiazine derivatives in anesthesia].
19571
20 20091

About T. Hoffmann

T. Hoffmann is a scholar working on Cellular and Molecular Neuroscience, Oncology, Computational Mechanics, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 556 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Peptidase Inhibition and Analysis (4 papers), Granular flow and fluidized beds (4 papers), Diabetes Treatment and Management (3 papers), Cyclone Separators and Fluid Dynamics (3 papers), Protease and Inhibitor Mechanisms (2 papers), Fluid Dynamics and Heat Transfer (2 papers) and Dental Anxiety and Anesthesia Techniques (1 paper). The work is most often cited by research in Virology (58 citations), Microbiology (30 citations), Oncology (122 citations), Cellular and Molecular Neuroscience (81 citations) and Computational Mechanics (82 citations). T. Hoffmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include S Ansorge, Dörte Lüschow, H. M. Hafez, K. Neubert, Jürgen Faust, Evangelos Tsotsas, Mirko Peglow, Christian Rieck, Andreas Bück and Hans‐Ulrich Demuth. Their work appears in journals such as Biological Chemistry, Drying Technology, FEBS Letters, Diabetes Obesity and Metabolism and Process Safety and Environmental Protection.

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.

Explore authors with similar magnitude of impact