Sarah Yoo

559 citations
24 papers · 378 · h-index 12

Impact in

Papers in

Sarah Yoo

22 papers receiving 371 citations

Peers

Sarah Yoo
Comparison fields: 5 of 55
  • Oncology 221
  • Pathology and Forensic Medicine 102
  • Dermatology 25
  • Immunology 52
  • Genetics 68
Replace Xueli Jin with:
Xueli Jin China
Anna J. Marsh Australia
Željko P. Mijušković Serbia
Baohong Yang China
Victor W.S. Ma China
Eirini Nikolouli Germany
Gonzalo Fernandez Lahore Sweden
MJ Watts United Kingdom
Marjan Azin United States
Maike Mose Denmark
Sarah Yoo relative to Xueli Jin China Xueli Jin's profile →
Citations per field
00.5×2×4×6.3×
Xueli Jin · 1×
Citations per year

Countries citing papers authored by Sarah Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 201167
3 201236
4 201934
5 202323
6 201421
7 201318
8 201618
9 202518
10 202416
11 201113
12 201412
13 20138
14 20195
15 20234
16 20193
17 20243
18
Perspectives of sustainable agriculture in Korea
19992
19 20142
20 20252

About Sarah Yoo

Sarah Yoo is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Public Health, Environmental and Occupational Health and Genetics, having authored 24 papers that have together received 378 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Cutaneous Melanoma Detection and Management (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Vitamin D Research Studies (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Virus-based gene therapy research (2 papers), Immunotherapy and Immune Responses (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Oncology (221 citations), Pathology and Forensic Medicine (102 citations), Dermatology (25 citations), Immunology (52 citations) and Genetics (68 citations). Sarah Yoo has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Irene Orlow, Dale P. Sandler, Pampa Roy, Jaya M. Satagopan, Lawrence S. Engel, Camelia S. Sima, Michael C.R. Alavanja, Urvi Mujumdar, Renier J. Brentjens and Terence J. Purdon. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, JNCI Cancer Spectrum, Human Heredity and Cancer Epidemiology Biomarkers & Prevention.

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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