Jacqueline E. Mann

470 citations
20 papers · 297 · h-index 9

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 12
    • CAR-T cell therapy research 2
    • Peptidase Inhibition and Analysis 2
    • Colorectal Cancer Treatments and Studies 1
    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 3

Jacqueline E. Mann

17 papers receiving 294 citations

Peers

Jacqueline E. Mann
Comparison fields: 5 of 44
  • Otorhinolaryngology 30
  • Cancer Research 93
  • Oncology 123
  • Immunology 83
  • Molecular Biology 126
Replace Astrid De Meulenaere with:
Astrid De Meulenaere Belgium
Simona Tortorella Italy
Aizhong Shao China
Zu‐Lu Ye China
Yang Mh Taiwan
Agustín Herrero Zapatero Spain
Maria Anderson United States
Paul‐Yang Lin Taiwan
Brian C. Willis United States
Marice Alcantara United States
Jacqueline E. Mann relative to Astrid De Meulenaere Belgium Astrid De Meulenaere's profile →
Citations per field
00.5×2.6×
Astrid De Meulenaere · 1×
Citations per year

Countries citing papers authored by Jacqueline E. Mann

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline E. Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline E. Mann. 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 Jacqueline E. Mann. The network helps show where Jacqueline E. Mann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201671
2 201750
3 201635
4 201834
5 201824
6 201924
7 202013
8 20239
9 20188
10 20197
11 20236
12 20246
13 20214
14 20243
15 20231
16 20171
17 20171
18 20230
19 20230
20 20250

About Jacqueline E. Mann

Jacqueline E. Mann is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Genetics, having authored 20 papers that have together received 297 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers), CAR-T cell therapy research (2 papers), Cancer Genomics and Diagnostics (2 papers), Peptidase Inhibition and Analysis (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Otorhinolaryngology (30 citations), Cancer Research (93 citations), Oncology (123 citations), Immunology (83 citations) and Molecular Biology (126 citations). Jacqueline E. Mann has collaborated with scholars based in United States and Czechia. Frequent co-authors include J. Chad Brenner, Valentina Crudo, Gary D. Hammer, William E. Rainey, Matthew E. Spector, S. Hunt, Christopher R. LaPensee, Andrew C. Birkeland, Mark E. Prince and Jonathan B. McHugh. Their work appears in journals such as Oral Oncology, Cancer Immunology Immunotherapy, Journal for ImmunoTherapy of Cancer, Cancer Research and Clinical Cancer Research.

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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