J. Stack

1.6k citations
42 papers · 1.1k · h-index 21

Impact in

Papers in

    • Brucella: diagnosis, epidemiology, treatment 41
    • Animal Diversity and Health Studies 9
    • Salmonella and Campylobacter epidemiology 8

J. Stack

41 papers receiving 986 citations

Peers

J. Stack
Comparison fields: 5 of 88
  • Small Animals 814
  • Agronomy and Crop Science 244
  • Food Science 414
  • Epidemiology 364
  • Transplantation 22
Replace María Pía Franco with:
María Pía Franco Netherlands
Mohammad Reza Hasanjani Roushan Iran
Pablo C. Baldi Argentina
C. E. Hall United States
M.R. Williams United States
Alan T. Loynachan United States
Bjørn Lium Norway
C. Tegtmeier Denmark
Gary J. Haldorson United States
LaRue W. Johnson United States
J. Stack relative to María Pía Franco Netherlands María Pía Franco's profile →
Citations per field
00.5×3.4×
María Pía Franco · 1×
Citations per year

Countries citing papers authored by J. Stack

Since Specialization
Citations

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

Fields of papers citing papers by J. Stack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1958199
2 200392
3 200975
4 200843
5 200839
6 201338
7 199938
8 200535
9 200835
10 200533
11 201130
12 200830
13 201528
14 201326
15 201126
16 201125
17
A serological diagnostic survey for Brucella canis infection in Turkish patients with Brucellosis-like symptoms.
201125
18 201024
19 201721
20 200720

About J. Stack

J. Stack is a scholar working on Small Animals, Food Science, Epidemiology, Agronomy and Crop Science and Immunology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (41 papers), Burkholderia infections and melioidosis (12 papers), Animal Diversity and Health Studies (9 papers), Animal Disease Management and Epidemiology (8 papers), Salmonella and Campylobacter epidemiology (8 papers), Galectins and Cancer Biology (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Small Animals (814 citations), Agronomy and Crop Science (244 citations), Food Science (414 citations), Epidemiology (364 citations) and Transplantation (22 citations). J. Stack has collaborated with scholars based in United Kingdom, Nigeria and Italy. Frequent co-authors include Robert S. Schwartz, William Dameshek, Simeon Cadmus, Hezekiah Kehinde Adesokan, L. L. Perrett, John McGiven, Simon D. Brew, Alastair MacMillan, James D. Tucker and Peter Alabi. Their work appears in journals such as Veterinary Record, Journal of Immunological Methods, Journal of Clinical Microbiology, Epidemiology and Infection and Revue Scientifique et Technique de l OIE.

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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