Ann T.

1.6k citations
22 papers · 384 · h-index 9

Impact in

Papers in

    • Liver Disease and Transplantation 7
    • Hepatitis C virus research 3
    • Organ Transplantation Techniques and Outcomes 3
    • Hemodynamic Monitoring and Therapy 2

Ann T.

22 papers receiving 371 citations

Peers

Ann T.
Comparison fields: 5 of 84
  • Hepatology 98
  • Pathology and Forensic Medicine 66
  • Nephrology 20
  • Epidemiology 93
  • Mathematical Physics 23
Replace Chun‐Cheng Wang with:
Chun‐Cheng Wang Taiwan
Makoto Nakano Japan
Xiaofan Li China
Giulia Gobbo Canada
Yuki Fujimoto Japan
Ji Bong Jeong South Korea
Osamu Arai Japan
Domenico Potenza Italy
Humberto C. González United States
Chang Young Park South Korea
Ann T. relative to Chun‐Cheng Wang Taiwan Chun‐Cheng Wang's profile →
Citations per field
00.5×1.5×2.0×
Chun‐Cheng Wang · 1×
Citations per year

Countries citing papers authored by Ann T.

Since Specialization
Citations

This map shows the geographic impact of Ann T.'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 Ann T. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann T. more than expected).

Fields of papers citing papers by Ann T.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
E mu N- and E mu L-myc cooperate with E mu pim-1 to generate lymphoid tumors at high frequency in double-transgenic mice.
199179
2 201565
3 200256
4
A warm-up laparoscopic exercise improves the subsequent laparoscopic performance of Ob-Gyn residents: a low-cost laparoscopic trainer.
200738
5 200834
6 202223
7 200523
8 202212
9 202111
10 20238
11 20227
12 20037
13 20157
14 20244
15 20152
16 20182
17 20241
18 20241
19 20171
20 20221

About Ann T.

Ann T. is a scholar working on Hepatology, Surgery, Epidemiology, Electrical and Electronic Engineering and Molecular Biology, having authored 22 papers that have together received 384 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Electrical and Bioimpedance Tomography (3 papers), Hemodynamic Monitoring and Therapy (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Hepatology (98 citations), Pathology and Forensic Medicine (66 citations), Nephrology (20 citations), Epidemiology (93 citations) and Mathematical Physics (23 citations). Ann T. has collaborated with scholars based in Canada, Spain and United States. Frequent co-authors include Sjef Verbeek, Anton Berns, Tarik Möröy, Frederick W. Alt, Adrian Nachman, M.L.G. Joy, Guido Schwarzer, Eric E. Turner, Sonya Cnossen and Natalia Fedtsova. Their work appears in journals such as PLoS ONE, Clinics in Liver Disease, Hepatology Communications, Liver International and Seminars in Liver Disease.

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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