Eileen Kim

2.0k citations
14 papers · 754 · h-index 11

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Glioma Diagnosis and Treatment 4
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2
    • Chemokine receptors and signaling 1

Eileen Kim

14 papers receiving 745 citations

Peers

Eileen Kim
Comparison fields: 5 of 68
  • Genetics 184
  • Immunology 269
  • Oncology 272
  • Endocrine and Autonomic Systems 67
  • Cognitive Neuroscience 103
Replace И. Е. Повереннова with:
И. Е. Повереннова Russia
Michael B. Yang United States
Lígia Simões Braga Boisserand France
Linda Xu United States
Steven Y. Cheng China
Isabel Arrillaga‐Romany United States
Muhamed Baljević United States
Wojciech K. Panek United States
Thomas J. Foutz United States
Virginie Neirinckx Belgium
Eileen Kim relative to И. Е. Повереннова Russia И. Е. Повереннова's profile →
Citations per field
00.5×3.5×
И. Е. Повереннова · 1×
Citations per year

Countries citing papers authored by Eileen Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eileen Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2016239
2 2017156
3 2019105
4 201861
5 201858
6 201643
7 201618
8 201918
9 201716
10 201913
11 201912
12 20207
13 20195
14 20183

About Eileen Kim

Eileen Kim is a scholar working on Genetics, Oncology, Immunology, Pathology and Forensic Medicine and Surgery, having authored 14 papers that have together received 754 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Trigeminal Neuralgia and Treatments (2 papers), CAR-T cell therapy research (2 papers), Circadian rhythm and melatonin (1 paper), Immunotherapy and Immune Responses (1 paper), Chemokine receptors and signaling (1 paper) and Medication Adherence and Compliance (1 paper). The work is most often cited by research in Genetics (184 citations), Immunology (269 citations), Oncology (272 citations), Endocrine and Autonomic Systems (67 citations) and Cognitive Neuroscience (103 citations). Eileen Kim has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Michael Lim, Tomás Garzón-Muvdi, Christopher M. Jackson, Drew M. Pardoll, Henry Brem, Debebe Theodros, Dimitrios Mathios, Antonella Mangraviti, Jennifer E. Kim and Betty Tyler. Their work appears in journals such as Contemporary Clinical Trials, International Journal of Radiation Oncology*Biology*Physics, Journal of neurosurgery, Operative Neurosurgery and OncoImmunology.

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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