Christopher J. Grim

4.5k citations
83 papers · 2.9k · h-index 32

Impact in

  • Endocrinology top 0.1%
    • Vibrio bacteria research studies
    • Enterobacteriaceae and Cronobacter Research
    • Antibiotic Resistance in Bacteria

Papers in

    • Vibrio bacteria research studies 38
    • Enterobacteriaceae and Cronobacter Research 13
    • Salmonella and Campylobacter epidemiology 31

Christopher J. Grim

81 papers receiving 2.9k citations

Peers

Christopher J. Grim
Comparison fields: 5 of 117
  • Endocrinology 1.5k
  • Molecular Medicine 317
  • Immunology 718
  • Biotechnology 303
  • Food Science 629
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Citations per field
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Citations per year

Countries citing papers authored by Christopher J. Grim

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Grim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Grim. 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 Christopher J. Grim. The network helps show where Christopher J. Grim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016218
2 2011216
3 2007175
4 1997167
5 2016116
6 2016104
7 201499
8 201392
9 200886
10 201076
11 201168
12 201366
13 201161
14 200660
15 201559
16 201057
17 201455
18 201551
19 201046
20 201246

About Christopher J. Grim

Christopher J. Grim is a scholar working on Endocrinology, Food Science, Molecular Biology, Immunology and Ecology, having authored 83 papers that have together received 2.9k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (38 papers), Salmonella and Campylobacter epidemiology (31 papers), Aquaculture disease management and microbiota (21 papers), Enterobacteriaceae and Cronobacter Research (13 papers), Listeria monocytogenes in Food Safety (11 papers), Genomics and Phylogenetic Studies (11 papers), Antibiotic Resistance in Bacteria (8 papers) and Identification and Quantification in Food (7 papers). The work is most often cited by research in Endocrinology (1.5k citations), Molecular Medicine (317 citations), Immunology (718 citations), Biotechnology (303 citations) and Food Science (629 citations). Christopher J. Grim has collaborated with scholars based in United States, South Korea and Bangladesh. Frequent co-authors include Rita R. Colwell, Anwar Huq, Nur A. Hasan, Ben D. Tall, Karen G. Jarvis, Gopal Gopinath, Munirul Alam, Elisa Taviani, Bradd J. Haley and Mahendra H. Kothary. Their work appears in journals such as Frontiers in Microbiology, Applied and Environmental Microbiology, PLoS ONE, Proceedings of the National Academy of Sciences and Environmental Microbiology Reports.

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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