Ken H. Young

27.3k citations
242 papers · 9.3k indexed · 3 hit papers · h-index 52

Impact in

Papers in

Ken H. Young

238 papers receiving 9.1k citations

Hit Papers

Diffuse large B-cell lymphoma 2017 · 407 citations
4072012202620162021100200300400

Peers

Ken H. Young
Comparison fields: 5 of 126
  • Pathology and Forensic Medicine 4.2k
  • Genetics 1.9k
  • Oncology 4.4k
  • Cancer Research 1.5k
  • Immunology 2.0k
Replace Stephan W. Morris with:
Stephan W. Morris United States
Hans Tesch Germany
Thomas M. Grogan United States
Luigi Maria Larocca Italy
R. Eric Davis United States
Sven de Vos United States
Lynne V. Abruzzo United States
George W. Wright United States
Dolors Colomer Spain
Nam H. Dang United States
Ken H. Young relative to Stephan W. Morris United States Stephan W. Morris's profile →
Citations per field
00.5×10×14×
Stephan W. Morris · 1×
Citations per year

Countries citing papers authored by Ken H. Young

Since Specialization
Citations

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

Fields of papers citing papers by Ken H. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken H. Young. 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 Ken H. Young. The network helps show where Ken H. Young may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20244
4 20233
5 20218
6 20212
7 2020104
8 202011
9 202026
10 201863
11 201881
12 20172
13 201648
14 20162
15 20169
16 201641
17 201319
18 200827
19 200827
20 20063

About Ken H. Young

Ken H. Young is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Immunology and Hematology, having authored 242 papers that have together received 9.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (152 papers), Chronic Lymphocytic Leukemia Research (69 papers), Viral-associated cancers and disorders (45 papers), CAR-T cell therapy research (41 papers), Immune Cell Function and Interaction (33 papers), CNS Lymphoma Diagnosis and Treatment (17 papers), Acute Myeloid Leukemia Research (15 papers) and Cutaneous lymphoproliferative disorders research (15 papers). The work is most often cited by research in Pathology and Forensic Medicine (4.2k citations), Genetics (1.9k citations), Oncology (4.4k citations), Cancer Research (1.5k citations) and Immunology (2.0k citations). Ken H. Young has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include L. Jeffrey Medeiros, Zijun Y. Xu‐Monette, Chi Young Ok, Shaoying Li, Yong Li, Jianfeng Zhou, Mingzhi Zhang, Jianyong Li, Roberto N. Miranda and Ling Li. Their work appears in journals such as Blood, The American Journal of Surgical Pathology, Oncotarget, Journal of Hematology & Oncology and Modern Pathology.

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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