G. M. Dack

1.7k citations
51 papers · 716 · h-index 15

Impact in

    • Microbial Metabolism and Applications
    • Microbial Inactivation Methods
    • Listeria monocytogenes in Food Safety
    • Probiotics and Fermented Foods

Papers in

    • Probiotics and Fermented Foods 13
    • Potato Plant Research 4
    • Food Quality and Safety Studies 3
    • Microbial Metabolism and Applications 5

G. M. Dack

50 papers receiving 569 citations

Peers

G. M. Dack
Comparison fields: 5 of 90
  • Biotechnology 184
  • Food Science 254
  • Infectious Diseases 203
  • Endocrinology 38
  • Animal Science and Zoology 49
Replace Herbert E. Hall with:
Herbert E. Hall United States
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Tomio Kawata Japan
M A Nicholson United States
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Citations per field
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Citations per year

Countries citing papers authored by G. M. Dack

Since Specialization
Citations

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

Fields of papers citing papers by G. M. Dack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. M. Dack. 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 G. M. Dack. The network helps show where G. M. Dack may publish in the future.

Co-authors

The 11 scholars most cited alongside G. M. Dack, 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 G. M. Dack Line = papers co-authored together G. M. Dack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Staphylococcal enterotoxin. Identification of a specific precipitating antibody with enterotoxin-neutralizing property.
195968
2 195365
3 195962
4
Some observations on the assay of staphylococcal enterotoxin by the monkey-feeding test.
195345
5 195939
6
Alarm reaction and normal blood picture in Macaca mulatta.
195627
7 196023
8 195421
9 196218
10 195117
11 196215
12 195815
13 195115
14 195915
15 196115
16 195214
17 196214
18 196213
19 195513
20 195411

About G. M. Dack

G. M. Dack is a scholar working on Food Science, Biotechnology, Infectious Diseases, Molecular Biology and Neurology, having authored 51 papers that have together received 716 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (13 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Microbial Metabolism and Applications (5 papers), Escherichia coli research studies (4 papers), Food composition and properties (4 papers), Potato Plant Research (4 papers) and Food Quality and Safety Studies (3 papers). The work is most often cited by research in Biotechnology (184 citations), Food Science (254 citations), Infectious Diseases (203 citations), Endocrinology (38 citations) and Animal Science and Zoology (49 citations). G. M. Dack has collaborated with scholars based in United States. Frequent co-authors include Merlin S. Bergdoll, Michael J. Surgalla, Hiroki Sugiyama, N. Grecz, M S Bergdoll, L. R. Hedrick, Joseph B. Kirsner, M. Segalove, Sara E. Branham and Donald B. Riggs. Their work appears in journals such as Journal of Food Science, The Journal of Immunology, The Journal of Infectious Diseases, Journal of Bacteriology and Archives of Biochemistry and Biophysics.

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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