John Lattin

2.3k citations
8 papers · 742 indexed · 1 hit paper · h-index 5

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 6
    • Immune Cell Function and Interaction 2

John Lattin

8 papers receiving 735 citations

Hit Papers

c-Jun overexpression in CAR T cells induces exhaustion resistance 2019 · 514 citations
5142019202620212023100200300400500

Peers

John Lattin
Comparison fields: 5 of 43
  • Oncology 648
  • Immunology 294
  • Genetics 162
  • Biomedical Engineering 213
  • Molecular Biology 256
Replace Andrew J. Hou with:
Andrew J. Hou United States
S. Y. Jennifer United States
Pradip Bajgain United States
Mohamed-Reda Benmebarek Germany
Elisa Landoni United States
Sarah A. Richman United States
Stefanie Lesch Germany
Gordon Weng-Kit Cheung United Kingdom
Aaron Zhang United States
Soyeon Kim United States
John Lattin relative to Andrew J. Hou United States Andrew J. Hou's profile →
Citations per field
00.5×8.6×
Andrew J. Hou · 1×
Citations per year

Countries citing papers authored by John Lattin

Since Specialization
Citations

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

Fields of papers citing papers by John Lattin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202240
2 20211
3 20204
4
c-Jun overexpression in CAR T cells induces exhaustion resistance
Hit paper breakdown →
2019514
5 2019166
6 201813
7 20171
8 19713

About John Lattin

John Lattin is a scholar working on Oncology, Immunology, Epidemiology, Pathology and Forensic Medicine and Cognitive Neuroscience, having authored 8 papers that have together received 742 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Biochemical and Molecular Research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Nanowire Synthesis and Applications (2 papers), Immune Cell Function and Interaction (2 papers), Neonatal and fetal brain pathology (1 paper), Virus-based gene therapy research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (648 citations), Immunology (294 citations), Genetics (162 citations), Biomedical Engineering (213 citations) and Molecular Biology (256 citations). John Lattin has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Evan W. Weber, Rachel C. Lynn, Crystal L. Mackall, Elena Sotillo, Peng Xu, Robert C. Jones, Ansuman T. Satpathy, Victor Tieu, David Gennert and Zinaida Good. Their work appears in journals such as Cancer Research, Nature, Journal of School Health, Blood Advances and Nature Communications.

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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