Paul Blum

4.5k citations
98 papers · 3.6k indexed · h-index 35

Impact in

    • Enzyme Production and Characterization
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Heat shock proteins research
    • RNA modifications and cancer

Papers in

Paul Blum

96 papers receiving 3.5k citations

Peers

Paul Blum
Comparison fields: 5 of 116
  • Biotechnology 477
  • Molecular Biology 2.3k
  • Genetics 765
  • Endocrinology 124
  • Ecology 548
Replace Kazuhide Kimbara with:
Kazuhide Kimbara Japan
Yuji Nagata Japan
Masataka Tsuda Japan
Tsukasa Ikeda Japan
Joaquı́n J. Nieto Spain
Ana Segura Spain
Emanuel Maltempi de Souza Brazil
Estrella Duque Spain
Jung‐Hye Roe South Korea
Erwin A. Galinski Germany
Paul Blum relative to Kazuhide Kimbara Japan Kazuhide Kimbara's profile →
Citations per field
00.5×1.5×
Kazuhide Kimbara · 1×
Citations per year

Countries citing papers authored by Paul Blum

Since Specialization
Citations

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

Fields of papers citing papers by Paul Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20195
3 20186
4 201813
5 20167
6 201320
7 201136
8 201121
9 201032
10 200965
11
Archaea : new models for prokaryotic biology
200855
12 2006124
13 200254
14
Archaea : ancient microbes, extreme environments, and the origin of life
20014
15 200027
16 1999336
17 199864
18 199519
19 19932
20 19895

About Paul Blum

Paul Blum is a scholar working on Biotechnology, Archeology, Molecular Biology, Ecology and Health, Toxicology and Mutagenesis, having authored 98 papers that have together received 3.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (20 papers), Genomics and Phylogenetic Studies (18 papers), Bacterial Genetics and Biotechnology (16 papers), Microbial Community Ecology and Physiology (10 papers), Metal Extraction and Bioleaching (10 papers), Enzyme Production and Characterization (10 papers), Bacteriophages and microbial interactions (9 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Biotechnology (477 citations), Molecular Biology (2.3k citations), Genetics (765 citations), Endocrinology (124 citations) and Ecology (548 citations). Paul Blum has collaborated with scholars based in United States, China and France. Frequent co-authors include Michael Rolfsmeier, Abdul Matin, Yukari Maezato, J. E. Schultz, Robert M. Kelly, David Rockabrand, Elizabeth A. Auger, Cynthia A. Haseltine, James Schelert and Elisabetta Bini. Their work appears in journals such as Journal of Bacteriology, Applied and Environmental Microbiology, Proceedings of the National Academy of Sciences, Scientific Reports and 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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