T.M. Kim

579 citations
14 papers · 416 · h-index 7

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 3
    • Colorectal Cancer Treatments and Studies 2
    • Lung Cancer Research Studies 2
    • Cancer Immunotherapy and Biomarkers 2
    • Lung Cancer Treatments and Mutations 7

T.M. Kim

14 papers receiving 412 citations

Peers

T.M. Kim
Comparison fields: 5 of 40
  • Oncology 266
  • Pathology and Forensic Medicine 134
  • Cancer Research 86
  • Pulmonary and Respiratory Medicine 152
  • Immunology 76
Replace Laura Palmeri with:
Laura Palmeri Italy
Igor Gorbatchevsky United States
Marie Cornic France
Yanfen Feng China
Mark Knapp United States
H. S. Hochster United States
Silvia Damian Italy
M.C. Cox United States
Audrey Gros France
Sandra Sernbo Sweden
T.M. Kim relative to Laura Palmeri Italy Laura Palmeri's profile →
Citations per field
00.5×1.5×2.5×
Laura Palmeri · 1×
Citations per year

Countries citing papers authored by T.M. Kim

Since Specialization
Citations

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

Fields of papers citing papers by T.M. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008125
2 202093
3 201784
4 201652
5 201929
6 200914
7 20188
8 20194
9 20212
10 20191
11 20161
12 20231
13 20171
14 20221

About T.M. Kim

T.M. Kim is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 14 papers that have together received 416 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Pancreatic and Hepatic Oncology Research (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Lung Cancer Research Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Animal Genetics and Reproduction (1 paper), Neuroblastoma Research and Treatments (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Oncology (266 citations), Pathology and Forensic Medicine (134 citations), Cancer Research (86 citations), Pulmonary and Respiratory Medicine (152 citations) and Immunology (76 citations). T.M. Kim has collaborated with scholars based in South Korea, United States and Thailand. Frequent co-authors include Dae Seog Heo, Yoon Kyung Jeon, Bhumsuk Keam, Myung‐Ju Ahn, Yoon‐La Choi, Valsamo Anagnostou, Hongui Cha, Jin Seok Ahn, Hyun Ae Jung and Joonho Shim. Their work appears in journals such as Annals of Oncology, Journal of Thoracic Oncology, Theriogenology and European Journal of Cancer.

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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