David S. Weiss

20.9k citations
83 papers · 15.7k indexed · 3 hit papers · h-index 40
Topics
Antibiotic Resistance in Bacteria (31 papers)Bacterial Genetics and Biotechnology (18 papers)Vibrio bacteria research studies (17 papers)

In The Last Decade

David S. Weiss

82 papers receiving 15.5k citations

Hit Papers

Neutrophil Extracellular Traps Kill Bacteria20042026201120182004200620192.5k5.0k7.5k

Peers

David S. Weiss
Comparison fields: 5 of 164
  • Immunology 7.8k
  • Molecular Biology 7.0k
  • Epidemiology 2.0k
  • Genetics 1.7k
  • Infectious Diseases 1.6k
Replace Motoyuki Sugai with:
Motoyuki Sugai Japan
Ingo B. Autenrieth Germany
Klaus Pfeffer Germany
Frank R. DeLeo United States
Lawrence S. Young United Kingdom
Martin Aepfelbacher Germany
Elaine Tuomanen United States
Klaus Heeg Germany
Simon J. Foster United Kingdom
Ivo G. Boneca France
David S. Weiss relative to Motoyuki Sugai Japan Motoyuki Sugai's profile →
Citations per field
00.5×3.9×
Motoyuki Sugai · 1×
Citations per year

Countries citing papers authored by David S. Weiss

Since Specialization
Citations

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

Fields of papers citing papers by David S. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Weiss

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Weiss. A scholar is included among the top collaborators of David S. Weiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David S. Weiss. David S. Weiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 5
4 1
5 24
6 5
7 5
8 24
9 165
10 2
11 75
12 161
13 87
14 46
15 33
16 207
17 50
18 42
19 345
20 176

About David S. Weiss

David S. Weiss is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 83 papers that have together received 15.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (31 papers), Bacterial Genetics and Biotechnology (18 papers) and Vibrio bacteria research studies (17 papers). The work is most often cited by research in Immunology (7.8k citations), Molecular Medicine (1.4k citations) and Endocrinology (1.1k citations). David S. Weiss has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Yvette Weinrauch, Arturo Zychlinsky, Christian Goosmann, Beatrix Fauler, Volker Brinkmann, Denise M. Monack, Sanjeev Mariathasan, Vishva M. Dixit, Timothy R. Sampson and Jacqueline McBride. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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