Chris Twitty

2.1k citations
18 papers · 654 · h-index 12

Impact in

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

Papers in

    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 4
    • Toxin Mechanisms and Immunotoxins 3
    • CAR-T cell therapy research 7
    • Cancer Immunotherapy and Biomarkers 4

Chris Twitty

18 papers receiving 637 citations

Peers

Chris Twitty
Comparison fields: 5 of 64
  • Immunology 391
  • Oncology 330
  • Biotechnology 75
  • Genetics 126
  • Molecular Biology 258
Replace Clement C. Leong with:
Clement C. Leong Australia
Jorge G. Gómez-Gutiérrez United States
Julie Urban United States
Cuizhu Zhang China
Kevin G. Shim United States
Even Walseng United States
Aude M. Fahrer Australia
Galit Denkberg Israel
Rauf Bhat Germany
Shirley Bartido United States
Chris Twitty relative to Clement C. Leong Australia Clement C. Leong's profile →
Citations per field
00.5×3.7×
Clement C. Leong · 1×
Citations per year

Countries citing papers authored by Chris Twitty

Since Specialization
Citations

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

Fields of papers citing papers by Chris Twitty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010109
2 201178
3 201970
4 201968
5 200453
6 200951
7 201250
8 201741
9 200927
10 201527
11 201226
12 201613
13 202011
14 202210
15 20119
16 20166
17 20174
18 20231

About Chris Twitty

Chris Twitty is a scholar working on Immunology, Oncology, Molecular Biology, Biotechnology and Epidemiology, having authored 18 papers that have together received 654 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (7 papers), Microbial Inactivation Methods (4 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), RNA Interference and Gene Delivery (3 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Immunology (391 citations), Oncology (330 citations), Biotechnology (75 citations), Genetics (126 citations) and Molecular Biology (258 citations). Chris Twitty has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Bernard A. Fox, Hong‐Ming Hu, Shawn M. Jensen, Walter J. Urba, Adil Daud, Yuhuan Li, Robert H. Pierce, Mai H. Le, Sandra Aung and Alain P. Algazi. Their work appears in journals such as Clinical Cancer Research, The Journal of Immunology, Cancer Research, Autophagy and Molecular Therapy — Oncolytics.

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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