David S. Weiss

11.2k citations
160 papers · 9.1k indexed · h-index 53

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 48
    • Ion channel regulation and function 34
    • Nicotinic Acetylcholine Receptors Study 29
    • RNA and protein synthesis mechanisms 25
    • Receptor Mechanisms and Signaling 10

David S. Weiss

157 papers receiving 8.7k citations

Peers

David S. Weiss
Comparison fields: 5 of 175
  • Cellular and Molecular Neuroscience 2.5k
  • Endocrinology 514
  • Genetics 2.8k
  • Molecular Biology 5.8k
  • Molecular Medicine 362
Replace J G Sutcliffe with:
J G Sutcliffe United States
Keiko Kashiwagi Japan
David Schlessinger United States
Herbert Weissbach United States
Scott McGinnis United States
Michio Nomura United States
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Atsushi Yamashita Japan
Tsutomu Suzuki Japan
Erich Gulbins Germany
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Citations per field
00.5×
J G Sutcliffe · 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-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20247
5 202211
6 20224
7 202227
8 202024
9 201944
10 201583
11 201460
12 2006146
13 200640
14 200413
15 200348
16 199792
17 19956
18 199566
19 19924
20 198870

About David S. Weiss

David S. Weiss is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Physical and Theoretical Chemistry and Endocrinology, having authored 160 papers that have together received 9.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (48 papers), Bacterial Genetics and Biotechnology (38 papers), Ion channel regulation and function (34 papers), Nicotinic Acetylcholine Receptors Study (29 papers), RNA and protein synthesis mechanisms (25 papers), Bacteriophages and microbial interactions (19 papers), Receptor Mechanisms and Signaling (10 papers) and Clostridium difficile and Clostridium perfringens research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.5k citations), Endocrinology (514 citations), Genetics (2.8k citations), Molecular Biology (5.8k citations) and Molecular Medicine (362 citations). David S. Weiss has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jahanshah Αmin, Sydney Kustu, Yongchang Chang, Jon Beckwith, J Keener, David L. Popham, Joseph C. Chen, Charles R. Marmar, Jean‐Marc Ghigo and Karl E. Klose. Their work appears in journals such as Journal of Bacteriology, The Journal of Physiology, Molecular Pharmacology, Molecular Microbiology and Biophysical Journal.

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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