Cliff Tatum

826 citations
18 papers · 651 indexed · h-index 13

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies
    • Pancreatic and Hepatic Oncology Research
    • Lung Cancer Research Studies

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 16
    • Pancreatic and Hepatic Oncology Research 5
    • Colorectal Cancer Treatments and Studies 3
    • Lung Cancer Research Studies 3

Cliff Tatum

18 papers receiving 643 citations

Peers

Cliff Tatum
Comparison fields: 5 of 33
  • Hepatology 528
  • Oncology 416
  • Pulmonary and Respiratory Medicine 208
  • Surgery 260
  • Radiology, Nuclear Medicine and Imaging 67
Replace Thomas O’Rourke with:
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Cliff Tatum relative to Thomas O’Rourke Australia Thomas O’Rourke's profile →
Citations per field
00.5×1.5×
Thomas O’Rourke · 1×
Citations per year

Countries citing papers authored by Cliff Tatum

Since Specialization
Citations

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

Fields of papers citing papers by Cliff Tatum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 201713
2 201612
3 20168
4 201336
5 201210
6 20121
7 201114
8 201139
9 201128
10 201037
11 201016
12 201036
13 2010151
14 201064
15 20101
16 200940
17 200980
18 200965

About Cliff Tatum

Cliff Tatum is a scholar working on Hepatology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Hematology, having authored 18 papers that have together received 651 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Pancreatic and Hepatic Oncology Research (5 papers), Colorectal Cancer Treatments and Studies (3 papers), Lung Cancer Research Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Renal cell carcinoma treatment (2 papers) and Gallbladder and Bile Duct Disorders (2 papers). The work is most often cited by research in Hepatology (528 citations), Oncology (416 citations), Pulmonary and Respiratory Medicine (208 citations), Surgery (260 citations) and Radiology, Nuclear Medicine and Imaging (67 citations). Cliff Tatum has collaborated with scholars based in United States, Czechia and Spain. Frequent co-authors include Robert C.G. Martin, Ken Robbins, Dana Tomalty, Radek Pádr, Miloslav Roček, Kelly M. McMasters, Charles R. Scoggins, Ryan O’Hara, Petar Bošnjaković and K. Thomas Robbins. Their work appears in journals such as Journal of Oncology, HPB, CardioVascular and Interventional Radiology, Annals of Surgical Oncology and Journal of the American College of Surgeons.

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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