Gerhard Hoffmann

27 papers receiving 724 citations

Peers

Gerhard Hoffmann
Comparison fields: 5 of 126
  • Biological Psychiatry 20
  • Epidemiology 218
  • Oncology 122
  • Pharmacology 36
  • Cellular and Molecular Neuroscience 76
Replace Padma Maruvada with:
Padma Maruvada United States
Alberto B. Silva United Kingdom
Akiko Kikuchi Japan
H J van der Helm Netherlands
Yue Hu China
Yanhui Cui China
Pei‐Ying Wu Taiwan
Michael Steffens Germany
Christopher Gault United States
Dymphy Huntjens Belgium
Gerhard Hoffmann relative to Padma Maruvada United States Padma Maruvada's profile →
Citations per field
00.5×1.7×
Padma Maruvada · 1×
Citations per year

Countries citing papers authored by Gerhard Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004127
2 2008126
3 201191
4 201188
5 201052
6 200848
7 200336
8 200928
9 200522
10 200721
11 199120
12 199020
13 201214
14 201610
15 20099
16
Ethics and aesthetics: The moral turn of postmodernism
19969
17 20127
18
Emotion in Postmodernism
19976
19 19755
20 20064

About Gerhard Hoffmann

Gerhard Hoffmann is a scholar working on Epidemiology, Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Oncology, having authored 30 papers that have together received 756 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Receptor Mechanisms and Signaling (6 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), HER2/EGFR in Cancer Research (2 papers), Contemporary Literature and Criticism (2 papers), Travel-related health issues (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Biological Psychiatry (20 citations), Epidemiology (218 citations), Oncology (122 citations), Pharmacology (36 citations) and Cellular and Molecular Neuroscience (76 citations). Gerhard Hoffmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Eric Prinssen, Barbara Donner, Vis Niranjan, Craig R. Rayner, Neil Parrott, Thomas P. Singer, Thierry Lavé, Gordon Beck, Kenneth Kolinsky and Michael Linn. Their work appears in journals such as Drug Safety, Basic & Clinical Pharmacology & Toxicology, Antimicrobial Agents and Chemotherapy, Deutsche Vierteljahrsschrift für Literaturwissenschaft und Geistesgeschichte and Anglia - Zeitschrift für englische Philologie.

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