Hans‐Peter Hohmann

2.8k citations
33 papers · 2.3k indexed · h-index 26

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • interferon and immune responses
    • NF-κB Signaling Pathways

Papers in

Hans‐Peter Hohmann

32 papers receiving 2.2k citations

Peers

Hans‐Peter Hohmann
Comparison fields: 5 of 116
  • Immunology 713
  • Cancer Research 427
  • Biochemistry 168
  • Molecular Biology 1.3k
  • Clinical Biochemistry 97
Replace Aaron P. van Loon with:
Aaron P. van Loon Switzerland
Olivier Peulen Belgium
Dário Eluan Kalume Brazil
Qiming Sun China
Jui‐Yoa Chang United States
Harald S. Conradt Germany
Jaehong Kim South Korea
H Shio United States
Feng Guan China
Hans‐Peter Hohmann relative to Aaron P. van Loon Switzerland Aaron P. van Loon's profile →
Citations per field
00.5×2.8×
Aaron P. van Loon · 1×
Citations per year

Countries citing papers authored by Hans‐Peter Hohmann

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Peter Hohmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Peter Hohmann. 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 Hans‐Peter Hohmann. The network helps show where Hans‐Peter Hohmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201536
2 201584
3 201450
4 201395
5 201330
6 200938
7 200925
8 200427
9 200443
10 200452
11 200359
12 199738
13 199755
14 199624
15 199123
16 199111
17 199198
18 1991205
19 198744
20 198534

About Hans‐Peter Hohmann

Hans‐Peter Hohmann is a scholar working on Biochemistry, Cancer Research, Immunology, Biophysics and Molecular Biology, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Enzyme Structure and Function (13 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Immune Response and Inflammation (9 papers), NF-κB Signaling Pathways (8 papers), Amino Acid Enzymes and Metabolism (6 papers), Bacterial Genetics and Biotechnology (6 papers), Natural product bioactivities and synthesis (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Immunology (713 citations), Cancer Research (427 citations), Biochemistry (168 citations), Molecular Biology (1.3k citations) and Clinical Biochemistry (97 citations). Hans‐Peter Hohmann has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include R Remy, Aaron P. van Loon, Manfred Brockhaus, Uwe Sauer, Adolphus P. G. M. van Loon, Claus Scheidereit, Florian Pappenberger, Matthias Mack, Nicola Zamboni and James E. Bailey. Their work appears in journals such as Journal of Biological Chemistry, Metabolic Engineering, Molecular and Cellular Biology, Journal of Bacteriology and Applied and Environmental Microbiology.

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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