Thomas Malinka

1.2k citations
70 papers · 842 · h-index 15

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Pancreatic and Hepatic Oncology Research 35
    • Hepatocellular Carcinoma Treatment and Prognosis 4
    • Liver physiology and pathology 4

Thomas Malinka

64 papers receiving 822 citations

Peers

Thomas Malinka
Comparison fields: 5 of 73
  • Hepatology 125
  • Oncology 290
  • Clinical Biochemistry 33
  • Surgery 182
  • Cell Biology 58
Replace Jaime M. Glorioso with:
Jaime M. Glorioso United States
Susumu Shibasaki Japan
Richard W. Laing United Kingdom
Hyung Sun Kim South Korea
Akiko Yokoi Japan
Atsushi Oba Japan
Ryosuke Misawa United States
Rosa Bianca Schmuck Germany
Tarkan Jäger Austria
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Citations per field
00.5×5×10.7×
Jaime M. Glorioso · 1×
Citations per year

Countries citing papers authored by Thomas Malinka

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Malinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016106
2 201168
3 201661
4 202353
5 201636
6 200931
7 201829
8 202327
9 202223
10 201722
11 201921
12 201819
13 201919
14 202218
15 202217
16 202215
17 202415
18 201814
19 202114
20 201813

About Thomas Malinka

Thomas Malinka is a scholar working on Oncology, Hepatology, Surgery, Radiology, Nuclear Medicine and Imaging and Clinical Biochemistry, having authored 70 papers that have together received 842 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (35 papers), Minimally Invasive Surgical Techniques (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Liver physiology and pathology (4 papers), Enhanced Recovery After Surgery (3 papers), Gallbladder and Bile Duct Disorders (3 papers), Pancreatitis Pathology and Treatment (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Hepatology (125 citations), Oncology (290 citations), Clinical Biochemistry (33 citations), Surgery (182 citations) and Cell Biology (58 citations). Thomas Malinka has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Johann Pratschke, Daniel Candinas, Marcus Bahra, Deborah M. Keogh-Stroka, Fritz Klein, Adrian Keogh, Thanos D. Halazonetis, Frank Stüber, Lutz Eric Lehmann and Stefan Hauser. Their work appears in journals such as Journal of Clinical Medicine, Langenbeck s Archives of Surgery, BMC Surgery, Anticancer Research and Surgical Endoscopy.

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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