Wee Tee

1.5k citations
36 papers · 1.3k · h-index 23

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 12
    • Clostridium difficile and Clostridium perfringens research 6
    • Amoebic Infections and Treatments 4
    • Veterinary medicine and infectious diseases 13

Wee Tee

35 papers receiving 1.2k citations

Peers

Wee Tee
Comparison fields: 5 of 80
  • Small Animals 295
  • Endocrinology 147
  • Food Science 389
  • Infectious Diseases 321
  • Gastroenterology 79
Replace Danuta Dzierzanowska with:
Danuta Dzierzanowska Poland
Hideo Yonezawa Japan
Cynthia L. Fennell United States
Alessandra Occhialini France
Lihua He China
William E. S. Harper Australia
C Van den Borre Belgium
Edilberto Nogueira Mendes Brazil
Hans Linde Nielsen Denmark
BENEDETTO DAINELLI Italy
Wee Tee relative to Danuta Dzierzanowska Poland Danuta Dzierzanowska's profile →
Citations per field
00.5×1.5×1.9×
Danuta Dzierzanowska · 1×
Citations per year

Countries citing papers authored by Wee Tee

Since Specialization
Citations

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

Fields of papers citing papers by Wee Tee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995106
2 199195
3 199886
4 199673
5 198571
6 199271
7 198862
8 198855
9 199751
10 198848
11 198747
12 199842
13 199641
14 199140
15 200139
16 200136
17 198735
18 199533
19 199832
20 198632

About Wee Tee

Wee Tee is a scholar working on Infectious Diseases, Small Animals, Food Science, Surgery and Endocrinology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (17 papers), Veterinary medicine and infectious diseases (13 papers), Viral gastroenteritis research and epidemiology (12 papers), Salmonella and Campylobacter epidemiology (12 papers), Mycobacterium research and diagnosis (6 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Amoebic Infections and Treatments (4 papers) and Enterobacteriaceae and Cronobacter Research (3 papers). The work is most often cited by research in Small Animals (295 citations), Endocrinology (147 citations), Food Science (389 citations), Infectious Diseases (321 citations) and Gastroenterology (79 citations). Wee Tee has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Brian Dwyer, Mike Dyall‐Smith, Anne M. Mijch, John Lambert, Jakov Kaldor, Bruce C. Ross, Richard A. Smallwood, CHITTIMA PITARANGSI, Julia A. Kiehlbauch and Peter D. Echeverria. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, The Medical Journal of Australia, European Journal of Clinical Microbiology & Infectious Diseases and Scandinavian Journal of Infectious Diseases.

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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