Jeff Aycock

6.8k total citations · 1 hit paper
24 papers, 624 citations indexed

About

Jeff Aycock is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Jeff Aycock has authored 24 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 10 papers in Immunology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Jeff Aycock's work include CAR-T cell therapy research (23 papers), Biosimilars and Bioanalytical Methods (8 papers) and Acute Lymphoblastic Leukemia research (6 papers). Jeff Aycock is often cited by papers focused on CAR-T cell therapy research (23 papers), Biosimilars and Bioanalytical Methods (8 papers) and Acute Lymphoblastic Leukemia research (6 papers). Jeff Aycock collaborates with scholars based in United States, Germany and Netherlands. Jeff Aycock's co-authors include Frederick L. Locke, Yizhou Jiang, Tanya Siddiqi, John M. Rossi, Adrian Bot, William Y. Go, Sattva S. Neelapu, Meg Elias, Nancy L. Bartlett and Jeff Wiezorek and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jeff Aycock

24 papers receiving 613 citations

Hit Papers

Phase 1 Results of ZUMA-1: A Multicenter Study of KTE-C19... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Jeff Aycock
Comparison fields: 5 of 37
  • Oncology 589
  • Genetics 170
  • Molecular Biology 155
  • Immunology 144
  • Biomedical Engineering 142
Replace Meg Elias with:
Meg Elias United States
Christina A. Bachmeier United States
Birju Mehta United States
Elizabeth Halton United States
Bindu George United States
Barbara Pender United States
Ian R. Hardy United States
Danielle Vanasse United States
Stefanie Lesch Germany
Sharon Yim United States
Meg Elias United States View profile →
Citations per field, relative to Jeff Aycock
Jeff Aycock · 1×
Citations per year, relative to Jeff Aycock
Jeff Aycock · 1×

Countries citing papers authored by Jeff Aycock

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Aycock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Aycock

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Aycock. A scholar is included among the top collaborators of Jeff Aycock based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeff Aycock. Jeff Aycock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 1
4 7
5
Phase 1 Results of ZUMA-1: A Multicenter Study of KTE-C19 Anti-CD19 CAR T Cell Therapy in Refractory Aggressive Lymphoma breakdown →
463
6 1
7 9
8 24
9 10
10 1
11 1
12 15
13 23
14 4
15 7
16 3
17 5
18 3
19 2
20 7

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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2026