Daniel Y. Kim

1.6k citations
49 papers · 927 · h-index 15

Impact in

Papers in

    • Cutaneous Melanoma Detection and Management 6
    • Cancer Immunotherapy and Biomarkers 5
    • Colorectal Cancer Treatments and Studies 4

Daniel Y. Kim

43 papers receiving 884 citations

Peers

Daniel Y. Kim
Comparison fields: 5 of 118
  • Molecular Medicine 88
  • Speech and Hearing 101
  • Aging 14
  • Endocrinology 40
  • Molecular Biology 413
Replace Ute Graepler-Mainka with:
Ute Graepler-Mainka Germany
Susan E. Birket United States
Ernest Y. Lee United States
Sandra Panchalingam United States
Ylva Kai-Larsen Sweden
Carmel B. Stober United Kingdom
A P Greening United Kingdom
James M. Hill United States
William G. Barnes United States
Cory M. Robinson United States
Daniel Y. Kim relative to Ute Graepler-Mainka Germany Ute Graepler-Mainka's profile →
Citations per field
00.5×
Ute Graepler-Mainka · 1×
Citations per year

Countries citing papers authored by Daniel Y. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Y. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019214
2 2021154
3 2003126
4 202079
5 202236
6 202231
7 199830
8 202027
9 200226
10 202124
11 200721
12 200721
13 200318
14 200816
15 202116
16 201910
17 202010
18 20218
19 20236
20 20235

About Daniel Y. Kim

Daniel Y. Kim is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cultural Studies and Epidemiology, having authored 49 papers that have together received 927 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (6 papers), Asian Culture and Media Studies (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Voice and Speech Disorders (3 papers) and Asian American and Pacific Histories (3 papers). The work is most often cited by research in Molecular Medicine (88 citations), Speech and Hearing (101 citations), Aging (14 citations), Endocrinology (40 citations) and Molecular Biology (413 citations). Daniel Y. Kim has collaborated with scholars based in United States, South Korea and Brazil. Frequent co-authors include David Paydarfar, Ajai A. Dandekar, Maxim Kostylev, E. Peter Greenberg, Nicole E. Smalley, Rebecca A. Prince, J. Keith Joung, Karl Petri, Andrea Schmidts and Jonathan Y. Hsu. Their work appears in journals such as Journal of the American Academy of Dermatology, Proceedings of the National Academy of Sciences, Head & Neck, JAMA Dermatology and The Laryngoscope.

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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