K. M. Tham

598 citations
27 papers · 509 · h-index 14

Impact in

Papers in

    • Herpesvirus Infections and Treatments 7
    • Cervical Cancer and HPV Research 5
    • Viral gastroenteritis research and epidemiology 3

K. M. Tham

27 papers receiving 473 citations

Peers

K. M. Tham
Comparison fields: 5 of 49
  • Parasitology 124
  • Animal Science and Zoology 110
  • Agronomy and Crop Science 88
  • Ecology, Evolution, Behavior and Systematics 165
  • Microbiology 49
Replace Norimasa SASAKI with:
Norimasa SASAKI Japan
Marcelo Ricardo Ítalo Pecoraro Argentina
C. S. Eidson United States
R. Nelson United Kingdom
A Sabó Slovakia
J.T. Faragher Australia
Sylvie Python Switzerland
Oskar‐Rüger Kaaden Germany
Douglas W. Key Canada
Antonio G. Anfossi Italy
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Citations per field
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Citations per year

Countries citing papers authored by K. M. Tham

Since Specialization
Citations

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

Fields of papers citing papers by K. M. Tham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. M. Tham. 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 K. M. Tham. The network helps show where K. M. Tham may publish in the future.

Co-authors

The 24 scholars most cited alongside K. M. Tham, 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 K. M. Tham Line = papers co-authored together K. M. Tham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011114
2 199145
3 199732
4 199632
5 199530
6 199227
7 199225
8 200322
9 199821
10 198720
11 199820
12 199419
13 198716
14 199014
15 199411
16 199111
17
Nucleic acid hybridization and the polymerase chain reaction in biology and medicine, with special reference to the detection of human papillomaviruses.
198910
18 19997
19 19856
20 19905

About K. M. Tham

K. M. Tham is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 509 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Virus-based gene therapy research (7 papers), Herpesvirus Infections and Treatments (7 papers), Vector-Borne Animal Diseases (6 papers), Cervical Cancer and HPV Research (5 papers), Animal Disease Management and Epidemiology (4 papers), Molecular Biology Techniques and Applications (3 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Parasitology (124 citations), Animal Science and Zoology (110 citations), Agronomy and Crop Science (88 citations), Ecology, Evolution, Behavior and Systematics (165 citations) and Microbiology (49 citations). K. M. Tham has collaborated with scholars based in New Zealand, Australia and Singapore. Frequent co-authors include Christina D. Moon, Michael J. Studdert, Hans‐Ulrich Bernard, J. Makin, Julie L. Meyer, AMJ McFadden, Petra Müllner, Dirk Geysen, Vincent Chow and Soo Kim Lim-Tan. Their work appears in journals such as New Zealand Veterinary Journal, Archives of Virology, Veterinary Record, Avian Diseases and International Journal of STD & AIDS.

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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