David Bieber

1.5k citations
18 papers · 1.1k · h-index 15

Impact in

Papers in

    • Bacteriophages and microbial interactions 4
    • Parasite Biology and Host Interactions 4
    • Bacterial Genetics and Biotechnology 7

David Bieber

18 papers receiving 1.1k citations

Peers

David Bieber
Comparison fields: 5 of 87
  • Endocrinology 538
  • Molecular Medicine 84
  • Genetics 411
  • Microbiology 86
  • Infectious Diseases 235
Replace Jorge E. Galán with:
Jorge E. Galán United States
Javier Pizarro‐Cerdá France
Scott A. Minnich United States
Denisse L. Leyton Australia
Vidhya Krishnamoorthy United States
Ann Kathrin Heroven Germany
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R. Lallier Canada
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Masanosuke Yoshikawa Japan
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Citations per field
00.5×1.6×
Jorge E. Galán · 1×
Citations per year

Countries citing papers authored by David Bieber

Since Specialization
Citations

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

Fields of papers citing papers by David Bieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1998371
2 1996160
3 1996112
4 197572
5 200155
6 198953
7 200249
8 199646
9 199336
10 199526
11 200325
12 197922
13 198721
14 199215
15 198814
16 198913
17
Learning Semantic Representations to Verify Hardware Designs
20216
18 19814

About David Bieber

David Bieber is a scholar working on Ecology, Genetics, Endocrinology, Molecular Biology and Parasitology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Escherichia coli research studies (6 papers), Bacteriophages and microbial interactions (4 papers), Parasite Biology and Host Interactions (4 papers), Parasites and Host Interactions (4 papers), Helminth infection and control (4 papers), RNA and protein synthesis mechanisms (3 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Endocrinology (538 citations), Molecular Medicine (84 citations), Genetics (411 citations), Microbiology (86 citations) and Infectious Diseases (235 citations). David Bieber has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sandra W. Ramer, Gary K. Schoolnik, Rosemary Fernandez, Toru Tobe, William J. Murray, José L. Puente, Darrel W. Stafford, Tag E. Mansour, William S. Murray and Jaiweon Hwang. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Journal of Biological Chemistry, Molecular and Biochemical Parasitology and Science.

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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