Gerd Hobom

7.0k citations
87 papers · 5.9k indexed · 2 hit papers · h-index 32

Impact in

Papers in

    • Bacterial Genetics and Biotechnology 17
    • Virus-based gene therapy research 9
    • Bacteriophages and microbial interactions 23

Gerd Hobom

86 papers receiving 5.6k citations

Hit Papers

A DNA transfection system for generation of influenza A virus from eight plasmids 2000 · 1.3k citations
1.3k19992026200820174008001.2k

Peers

Gerd Hobom
Comparison fields: 5 of 111
  • Epidemiology 3.1k
  • Agronomy and Crop Science 781
  • Infectious Diseases 1.4k
  • Immunology 1.3k
  • Animal Science and Zoology 503
Replace K. Gopal Murti with:
K. Gopal Murti United States
Akio Nomoto Japan
Gale Smith United States
George G. Brownlee United Kingdom
Roland R. Rueckert United States
Karla Kirkegaard United States
Henrik Garoff Sweden
Gerhard Hunsmann Germany
Stephen Oroszlan United States
Michael A. Whitt United States
Gerd Hobom relative to K. Gopal Murti United States K. Gopal Murti's profile →
Citations per field
00.5×1.5×2.5×
K. Gopal Murti · 1×
Citations per year

Countries citing papers authored by Gerd Hobom

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Hobom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20091
2 200130
3 2001447
4 20001
5 200018
6 199926
7 19996
8 199829
9 19976
10 199612
11
Brugia spp. and Litomosoides carinii
19951
12 199594
13 1994104
14 199417
15 199429
16 199418
17 199384
18 199366
19 199214
20 19738

About Gerd Hobom

Gerd Hobom is a scholar working on Genetics, Ecology, Animal Science and Zoology, Molecular Biology and Infectious Diseases, having authored 87 papers that have together received 5.9k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (23 papers), RNA and protein synthesis mechanisms (22 papers), Bacterial Genetics and Biotechnology (17 papers), Animal Virus Infections Studies (10 papers), Influenza Virus Research Studies (9 papers), Virus-based gene therapy research (9 papers), Viral Infections and Immunology Research (8 papers) and DNA and Nucleic Acid Chemistry (7 papers). The work is most often cited by research in Epidemiology (3.1k citations), Agronomy and Crop Science (781 citations), Infectious Diseases (1.4k citations), Immunology (1.3k citations) and Animal Science and Zoology (503 citations). Gerd Hobom has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Gabriele Neumann, Erich Hoffmann, Yoshihiro Kawaoka, Robert G. Webster, Manfred Kröger, Ramon Flick, Peng Gao, Hiroshi Ito, Daniel R. Pérez and Rubén O. Donis. Their work appears in journals such as Gene, Journal of General Virology, Virology, Nucleic Acids Research and Molecular and Biochemical Parasitology.

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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