Connor J. Dwyer

1.4k citations
25 papers · 1.0k indexed · 1 hit paper · h-index 13

Connor J. Dwyer

24 papers receiving 997 citations

Hit Papers

When worlds collide: Th17 and Treg cells in cancer and au...4072018202620202023100200300400

Peers

Connor J. Dwyer
Comparison fields: 5 of 94
  • Immunology 536
  • Oncology 463
  • Microbiology 58
  • Biological Psychiatry 13
  • Cancer Research 77
Replace Carmen Molina with:
Carmen Molina Cuba
Reiko Onishi Japan
Bas Baaten United States
Theresa Truitt United States
María López‐Bravo Spain
Lucia Schwarzfischer Germany
Pierre Vantourout United Kingdom
Nathan D. Pennock United States
David A. Rhodes United Kingdom
Stefan Dreher Germany
Connor J. Dwyer relative to Carmen Molina Cuba Carmen Molina's profile →
Citations per field
00.5×1.5×2.2×
Carmen Molina · 1×
Citations per year

Countries citing papers authored by Connor J. Dwyer

Since Specialization
Citations

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

Fields of papers citing papers by Connor J. Dwyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connor J. Dwyer. 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 Connor J. Dwyer. The network helps show where Connor J. Dwyer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202316
3 20238
4 202212
5 20215
6 202184
7 202128
8 20205
9 202010
10 202048
11 20200
12 201972
13 201812
14 2018150
15
When worlds collide: Th17 and Treg cells in cancer and autoimmunitybreakdown →
2018407
16 20173
17 201731
18 201713
19 201716
20 201647

About Connor J. Dwyer

Connor J. Dwyer is a scholar working on Microbiology, Immunology and Oncology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (9 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Microbial infections and disease research (4 papers), Herpesvirus Infections and Treatments (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Immunology (536 citations), Oncology (463 citations) and Microbiology (58 citations). Connor J. Dwyer has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Chrystal M. Paulos, Hannah M. Knochelmann, Stefanie R. Bailey, Dirk M. Elston, Aubrey S. Smith, Megan M. Wyatt, Shikhar Mehrotra, Guillermo O. Rangel Rivera, Thomas R. Malek and Jessica E. Thaxton. Their work appears in journals such as The Journal of Immunology, Cancer Research and Diabetes.

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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