Martin Blum

11.6k citations
158 papers · 9.1k indexed · h-index 51
  • Virology top 2%
    • HIV Research and Treatment 15
    • Developmental Biology and Gene Regulation 43
    • Congenital heart defects research 29
    • Protist diversity and phylogeny 12
  • Genetics top 0.5%
    • Genetic and Kidney Cyst Diseases 25
  • Pharmacology top 0.5%
    • HIV/AIDS drug development and treatment 19
    • HIV/AIDS Research and Interventions 11
    • Herpesvirus Infections and Treatments 11

Martin Blum

158 papers receiving 8.8k citations

Peers

Martin Blum
Comparison fields: 5 of 163
  • Virology 427
  • Molecular Biology 5.5k
  • Genetics 2.1k
  • Pharmacology 530
  • Infectious Diseases 865
Replace Takashi Morita with:
Takashi Morita Japan
Richard Lathe United Kingdom
Mathias Müller Austria
Caroline Lee Singapore
Sumit K. Chanda United States
J. Fernando Bazán United States
Jan Tavernier Belgium
David Chaplin United States
Richard M. Siegel United States
Angela Santoni Italy
Martin Blum relative to Takashi Morita Japan Takashi Morita's profile →
Citations per field
00.5×1.5×1.9×
Takashi Morita · 1×
Citations per year

Countries citing papers authored by Martin Blum

Since Specialization
Citations

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

Fields of papers citing papers by Martin Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202125
2 20217
3 201911
4 201837
5 201862
6 20176
7 2015139
8 201210
9 201211
10 20108
11 200971
12 2007220
13 200140
14 200012
15 2000131
16 1999105
17 199837
18 199665
19 199219
20 19892

About Martin Blum

Martin Blum is a scholar working on Virology, Genetics and Molecular Biology, having authored 158 papers that have together received 9.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (43 papers), Congenital heart defects research (29 papers), Genetic and Kidney Cyst Diseases (25 papers), HIV/AIDS drug development and treatment (19 papers), HIV Research and Treatment (15 papers), Protist diversity and phylogeny (12 papers), Herpesvirus Infections and Treatments (11 papers) and HIV/AIDS Research and Interventions (11 papers). The work is most often cited by research in Virology (427 citations), Molecular Biology (5.5k citations) and Genetics (2.1k citations). Martin Blum has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Axel Schweickert, P de Miranda, Urs Meyer, Herbert Steinbeißer, Edward M. De Robertis, Denis M. Grant, Kerstin Feistel, Markus H. Heim, Tina Beyer and Philipp Vick.

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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