Kim HooKim

733 citations
23 papers · 422 indexed · h-index 11

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 3
    • Vascular Tumors and Angiosarcomas 2
    • Viral-associated cancers and disorders 2
    • Pancreatitis Pathology and Treatment 3

Kim HooKim

22 papers receiving 419 citations

Peers

Kim HooKim
Comparison fields: 5 of 55
  • Oncology 246
  • Pulmonary and Respiratory Medicine 155
  • Cancer Research 52
  • Endocrinology, Diabetes and Metabolism 54
  • Cardiology and Cardiovascular Medicine 69
Replace Alessandra Alessi with:
Alessandra Alessi Italy
Qiugen Hu China
Byoung Hyuck Kim South Korea
Francesca Pagliuca Italy
Sotaro Otake Japan
Raffaele Solla Italy
Keiichi Kinowaki Japan
Ji Han Jung South Korea
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Kim HooKim relative to Alessandra Alessi Italy Alessandra Alessi's profile →
Citations per field
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Alessandra Alessi · 1×
Citations per year

Countries citing papers authored by Kim HooKim

Since Specialization
Citations

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

Fields of papers citing papers by Kim HooKim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201468
2 201861
3 201743
4 201936
5 201136
6 201636
7 201133
8 201527
9 201120
10 202014
11
IgG anti-cardiomyocyte antibodies in giant cell myocarditis.
200812
12 20199
13 20198
14 20205
15 20195
16 20162
17 20212
18 20131
19 20141
20 20241

About Kim HooKim

Kim HooKim is a scholar working on Oncology, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 23 papers that have together received 422 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (4 papers), Pancreatitis Pathology and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Vascular Tumors and Angiosarcomas (2 papers), Melanoma and MAPK Pathways (2 papers), Viral-associated cancers and disorders (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Oncology (246 citations), Pulmonary and Respiratory Medicine (155 citations), Cancer Research (52 citations), Endocrinology, Diabetes and Metabolism (54 citations) and Cardiology and Cardiovascular Medicine (69 citations). Kim HooKim has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Michelle D. Reid, Mark Edgar, Harold C. Sullivan, Stewart M. Knoepp, C. M. S. Cohen, Michael H. Roh, Kristina Fields, Oscar Lin, Timothy J. Purwin and Inna Chervoneva. Their work appears in journals such as Cancer Cytopathology, Diagnostic Cytopathology, Therapeutic Advances in Urology, Cell Death and Disease and Journal of Lower Genital Tract 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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