D L Weinstein

1.6k citations
18 papers · 1.3k indexed · h-index 16

Impact in

  • Endocrinology top 0.5%
    • Escherichia coli research studies
    • Vibrio bacteria research studies
    • Salmonella and Campylobacter epidemiology

Papers in

    • Escherichia coli research studies 8
    • Vibrio bacteria research studies 4
    • Salmonella and Campylobacter epidemiology 9

D L Weinstein

18 papers receiving 1.2k citations

Peers

D L Weinstein
Comparison fields: 5 of 83
  • Endocrinology 692
  • Food Science 436
  • Infectious Diseases 443
  • Biotechnology 143
  • Immunology 276
Replace B. Baudry with:
B. Baudry United States
Rosanna Mundy United Kingdom
Frances Bowe United Kingdom
Lawrence A. Dreyfus United States
Stuart W. Naylor United Kingdom
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Jaclyn S. Pearson Australia
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Citations per field
00.5×2.5×
B. Baudry · 1×
Citations per year

Countries citing papers authored by D L Weinstein

Since Specialization
Citations

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

Fields of papers citing papers by D L Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D L Weinstein. 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 D L Weinstein. The network helps show where D L Weinstein may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 2001188
2 200178
3 200192
4 199867
5 199758
6 199071
7 199038
8 198959
9 198945
10 198844
11 1988246
12 198744
13 198638
14 19864
15 198548
16 198472
17 198492
18 198111

About D L Weinstein

D L Weinstein is a scholar working on Endocrinology, Food Science, Biotechnology, Infectious Diseases and Immunology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (9 papers), Escherichia coli research studies (8 papers), Viral gastroenteritis research and epidemiology (4 papers), Vibrio bacteria research studies (4 papers), Bacteriophages and microbial interactions (3 papers), Transgenic Plants and Applications (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Endocrinology (692 citations), Food Science (436 citations), Infectious Diseases (443 citations), Biotechnology (143 citations) and Immunology (276 citations). D L Weinstein has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alison D. O’Brien, Randall K. Holmes, M P Jackson, James E. Samuel, M. Carsiotis, Eleanor S. Metcalf, C R Lissner, Stephen C. Darnell, Jack S. Ikeda and Timothy S. Wallis. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, The Journal of Immunology, FEBS Letters and Cellular Immunology.

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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