J. Stack

1.6k citations
42 papers · 1.1k · h-index 20

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 961 citations

Peers

J. Stack
Comparison fields: 5 of 88
  • Small Animals 798
  • Agronomy and Crop Science 237
  • Food Science 407
  • Epidemiology 346
  • Endocrinology 38
Replace M. Barberán with:
M. Barberán Spain
E. J. Young United States
Teane M. A. Silva Brazil
Pablo C. Baldi Argentina
Ángel Oñate Chile
Christine A. Jansen Netherlands
A.T.J. Bianchi Netherlands
C. A. Holmberg United States
Gary J. Haldorson United States
C. E. Hall United States
J. Stack relative to M. Barberán Spain M. Barberán's profile →
Citations per field
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M. Barberán · 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 1958171
2 200390
3 200975
4 200843
5 200839
6 201338
7 199938
8 200534
9 200533
10 200832
11 200829
12 201128
13 201528
14 201326
15 201024
16 201124
17
A serological diagnostic survey for Brucella canis infection in Turkish patients with Brucellosis-like symptoms.
201124
18 201124
19 201721
20 200219

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 (798 citations), Agronomy and Crop Science (237 citations), Food Science (407 citations), Epidemiology (346 citations) and Endocrinology (38 citations). J. Stack has collaborated with scholars based in United Kingdom, Nigeria and Italy. Frequent co-authors include Simeon Cadmus, William Dameshek, Robert S. Schwartz, Hezekiah Kehinde Adesokan, L. L. Perrett, John McGiven, Simon D. Brew, Alastair MacMillan, Peter Alabi and James D. Tucker. Their work appears in journals such as Veterinary Record, Journal of Immunological Methods, Journal of Clinical Microbiology, Clinical and Vaccine Immunology and Epidemiology and Infection.

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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