Tamara Gall

1.7k citations
55 papers · 856 · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

    • Pancreatic and Hepatic Oncology Research 23
    • Surgical Simulation and Training 7
    • Pancreatitis Pathology and Treatment 5
    • Cholangiocarcinoma and Gallbladder Cancer Studies 4

Tamara Gall

49 papers receiving 843 citations

Peers

Tamara Gall
Comparison fields: 5 of 79
  • Cancer Research 228
  • Oncology 298
  • Hepatology 85
  • Health Informatics 12
  • Surgery 197
Replace Shiyou Wei with:
Shiyou Wei China
Xiao Shi China
Kai‐Keen Shiu United Kingdom
Stefan Stremitzer Austria
Aurélie Bèaufrere France
Namita Gandhi United States
Daniel Sur Romania
Amir Khan United States
Henk-Jan van Slooten Netherlands
Tamara Gall relative to Shiyou Wei China Shiyou Wei's profile →
Citations per field
00.5×
Shiyou Wei · 1×
Citations per year

Countries citing papers authored by Tamara Gall

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Gall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201584
2 201379
3 201471
4 201861
5 201551
6 202145
7 200943
8 202339
9 201936
10 201335
11 202029
12 201327
13 202124
14 202024
15 201523
16 201021
17 201617
18 202216
19 201616
20 201312

About Tamara Gall

Tamara Gall is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Hepatology and Cancer Research, having authored 55 papers that have together received 856 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (23 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Surgical Simulation and Training (7 papers), Gallbladder and Bile Duct Disorders (6 papers), Cancer Genomics and Diagnostics (5 papers), Pancreatitis Pathology and Treatment (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Cancer Research (228 citations), Oncology (298 citations), Hepatology (85 citations), Health Informatics (12 citations) and Surgery (197 citations). Tamara Gall has collaborated with scholars based in United Kingdom, Ireland and Australia. Frequent co-authors include Adam E. Frampton, Long R. Jiao, Michal Kawka, Leandro Castellano, Jonathan Krell, Justin Stebbing, Nagy Habib, Yuman Fong, Mikael H. Sodergren and Jimmy Jacob. Their work appears in journals such as HPB, Surgical Endoscopy, The Surgeon, Cancers and Oncotarget.

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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