David Goins

478 citations
24 papers · 135 · h-index 8

Impact in

Papers in

    • Identification and Quantification in Food 8
    • Molecular Biology Techniques and Applications 5
    • Salmonella and Campylobacter epidemiology 9

David Goins

23 papers receiving 125 citations

Peers

David Goins
Comparison fields: 5 of 53
  • Endocrinology 23
  • Biotechnology 31
  • Food Science 49
  • Microbiology 2
  • Clinical Biochemistry 17
Replace Patrick Bird with:
Patrick Bird United States
Erin Crowley United States
Junli Wu China
Adam Broomer United States
James Agin United States
Sara Bellali France
Mario Soria Argentina
Ultan P. Cronin Ireland
Samuel Horsfield United Kingdom
Christina M. Ferreira United States
David Goins relative to Patrick Bird United States Patrick Bird's profile →
Citations per field
00.5×1.5×
Patrick Bird · 1×
Citations per year

Countries citing papers authored by David Goins

Since Specialization
Citations

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

Fields of papers citing papers by David Goins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200625
2 201214
3 201913
4 201513
5 201812
6 201211
7 20189
8 20037
9 20066
10 20166
11 20184
12 20142
13 20182
14 20181
15 20151
16 20171
17 20181
18 20201
19 20151
20 20191

About David Goins

David Goins is a scholar working on Molecular Biology, Food Science, Biotechnology, Biomedical Engineering and Clinical Biochemistry, having authored 24 papers that have together received 135 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (9 papers), Identification and Quantification in Food (8 papers), Listeria monocytogenes in Food Safety (6 papers), Biosensors and Analytical Detection (6 papers), Molecular Biology Techniques and Applications (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Enterobacteriaceae and Cronobacter Research (4 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Endocrinology (23 citations), Biotechnology (31 citations), Food Science (49 citations), Microbiology (2 citations) and Clinical Biochemistry (17 citations). David Goins has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Patrick Bird, James Agin, Erin Crowley, Markus Kostrzewa, Markus Timke, Hidemasa Kodaka, Joseph Odumeru, Danièle Sohier, Robert P. Jechorek and Gongyi Shi. Their work appears in journals such as Journal of AOAC International and Journal of Food Protection.

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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