James L. Reading

8.1k citations
29 papers · 1.4k indexed · 1 hit paper · h-index 14

James L. Reading

28 papers receiving 1.3k citations

Hit Papers

Insertion-and-deletion-derived tumour-specific neoantigen...6622017202620202023200400600

Peers

James L. Reading
Comparison fields: 5 of 80
  • Immunology 543
  • Oncology 698
  • Cancer Research 263
  • Genetics 96
  • Pulmonary and Respiratory Medicine 272
Replace Rosario Alberto Caruso with:
Rosario Alberto Caruso Italy
Hyo Jeong Kang South Korea
Joan Somja Belgium
Natalja T. ter Haar Netherlands
Jun‐ichi Tamaru Japan
Valeria Zuccalà Italy
Julius Strauss United States
Keiichiro Honma Japan
Hiroshi Nakagomi Japan
Shanta Mancham Netherlands
James L. Reading relative to Rosario Alberto Caruso Italy Rosario Alberto Caruso's profile →
Citations per field
00.5×1.5×2.4×
Rosario Alberto Caruso · 1×
Citations per year

Countries citing papers authored by James L. Reading

Since Specialization
Citations

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

Fields of papers citing papers by James L. Reading

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James L. Reading. 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 James L. Reading. The network helps show where James L. Reading may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202416
2 20242
3 20231
4 20234
5 20231
6 20221
7 202068
8 20203
9 20205
10
HLA-C restricted neoepitopes contribute significantly to the immune recognition of cancer
20191
11 201813
12 201796
13
Insertion-and-deletion-derived tumour-specific neoantigens and the immunogenic phenotype: a pan-cancer analysisbreakdown →
2017662
14 201535
15 201356
16 20126
17 201112
18
TRANSVERSE INCISION FOR LESSER METATARSOPHALANGEAL EXPOSURE. A WORKHORSE INCISION FOR THE FOREFOOT
20050
19 199537
20 199556

About James L. Reading

James L. Reading is a scholar working on Virology, Immunology and Oncology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (4 papers), Cancer Genomics and Diagnostics (4 papers), HIV Research and Treatment (3 papers), Mesenchymal stem cell research (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Immunology (543 citations), Oncology (698 citations) and Cancer Research (263 citations). James L. Reading has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Charles Swanton, Sergio A. Quezada, Nicholas McGranahan, Rachel Rosenthal, Kevin Litchfield, Hang Xu, Samra Turajlic, James Larkin, Andrew Rowan and Yien Ning Sophia Wong. Their work appears in journals such as Nature Communications, Frontiers in Immunology, Annals of Oncology, Journal of Clinical Oncology and Cancer Cell.

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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