Milim Kim

686 citations
29 papers · 492 · h-index 13

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • Pancreatic and Hepatic Oncology Research 2
    • Breast Cancer Treatment Studies 3

Milim Kim

28 papers receiving 485 citations

Peers

Milim Kim
Comparison fields: 5 of 60
  • Cancer Research 121
  • Oncology 167
  • Pathology and Forensic Medicine 59
  • Radiology, Nuclear Medicine and Imaging 63
  • Immunology 47
Replace Fatiha Amira Bouhidel with:
Fatiha Amira Bouhidel France
SALLY A. HALES United Kingdom
Tae-Kyung Robyn Yoo South Korea
Amy S Joehlin-Price United States
B Dunne Ireland
Jiehua He China
Yanjun Hou United States
Lucia Gelao Italy
Francesca Comito Italy
Niclas Christian Blessin Germany
Milim Kim relative to Fatiha Amira Bouhidel France Fatiha Amira Bouhidel's profile →
Citations per field
00.5×1.5×2×2.4×
Fatiha Amira Bouhidel · 1×
Citations per year

Countries citing papers authored by Milim Kim

Since Specialization
Citations

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

Fields of papers citing papers by Milim Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 201853
3 202045
4 202444
5 201838
6 201434
7 202131
8 201825
9 201820
10 201915
11 202015
12 202213
13 202413
14 201712
15 202310
16 202310
17 202310
18 20249
19 20206
20 20185

About Milim Kim

Milim Kim is a scholar working on Oncology, Cancer Research, Immunology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 29 papers that have together received 492 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Breast Cancer Treatment Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Neuroblastoma Research and Treatments (2 papers), Breast Lesions and Carcinomas (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (121 citations), Oncology (167 citations), Pathology and Forensic Medicine (59 citations), Radiology, Nuclear Medicine and Imaging (63 citations) and Immunology (47 citations). Milim Kim has collaborated with scholars based in South Korea, Puerto Rico and Ethiopia. Frequent co-authors include So Yeon Park, Yul Ri Chung, Hyun Jeong Kim, Ji Won Woo, Jae Moon Gwak, Min Hye Jang, Soomin Ahn, Eun‐Kyu Kim, Eunyoung Kang and Hye Yeon Choi. Their work appears in journals such as Scientific Reports, Breast Cancer, Cancer Research and Treatment, Cancer Immunology Immunotherapy and Clinical Cancer Research.

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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