S.S. Jang

26 papers receiving 831 citations

Peers

S.S. Jang
Comparison fields: 5 of 90
  • Small Animals 311
  • Equine 42
  • Microbiology 19
  • Microbiology 129
  • Infectious Diseases 350
Replace P.J. Quinn with:
P.J. Quinn Ireland
Craig N. Carter United States
Lisle W. George United States
Antônio Carlos Paes Brazil
Stanley Done United Kingdom
J. B. Woolcock Australia
K. B. Poonacha United States
Fernando José Paganini Listoni Brazil
John A. Angelos United States
D.O. Cordes United States
S.S. Jang relative to P.J. Quinn Ireland P.J. Quinn's profile →
Citations per field
00.5×3.2×
P.J. Quinn · 1×
Citations per year

Countries citing papers authored by S.S. Jang

Since Specialization
Citations

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

Fields of papers citing papers by S.S. Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984107
2
Use of a clinical sepsis score for predicting bacteremia in neonatal dairy calves on a calf rearing farm.
199779
3 199777
4
Bacteriological culture of blood from critically ill neonatal calves.
199769
5 200166
6 200657
7 200654
8 200652
9 200143
10 200542
11 199441
12 197938
13 201436
14
Feline brain abscesses due to Cladosporium trichoides.
197733
15 197730
16 198625
17 198418
18 197913
19
Focal necrotizing pneumonia in cats associated with a gram negative eugonic fermenting bacterium.
197313
20 200110

About S.S. Jang

S.S. Jang is a scholar working on Small Animals, Microbiology, Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 927 indexed citations. Recurring topics across this work include Microbial infections and disease research (7 papers), Streptococcal Infections and Treatments (6 papers), Animal health and immunology (3 papers), Infectious Diseases and Mycology (3 papers), Diphtheria, Corynebacterium, and Tetanus (3 papers), Marine animal studies overview (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Small Animals (311 citations), Equine (42 citations), Microbiology (19 citations), Microbiology (129 citations) and Infectious Diseases (350 citations). S.S. Jang has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Dwight C. Hirsh, E. L. Biberstein, G. Fecteau, Bradford P. Smith, David C. Van Metre, Julie Paré, Walter M. Guterbock, C. A. Holmberg, Lori M. Hansen and Richard W. Nelson. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Veterinary Internal Medicine, Medical Mycology, JMIR Medical Education and Japanese Journal of Clinical Oncology.

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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