Jacqueline E. Mann

490 citations
20 papers · 307 · h-index 9

Impact in

Papers in

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

Jacqueline E. Mann

17 papers receiving 304 citations

Peers

Jacqueline E. Mann
Comparison fields: 5 of 41
  • Otorhinolaryngology 25
  • Cancer Research 70
  • Oncology 92
  • Immunology 74
  • Computational Mathematics 1
Replace Noel Chia with:
Noel Chia Australia
Astrid De Meulenaere Belgium
Grégoire Marret France
Régia Caroline Peixoto Lira Brazil
Aizhong Shao China
Zu‐Lu Ye China
Hiroshi Nishimiya Japan
Sourat Darabi United States
Yang Bao China
Justin Bishop United States
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Citations per field
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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 201672
2 201750
3 201835
4 201635
5 201826
6 201925
7 202013
8 20239
9 20189
10 20248
11 20197
12 20236
13 20215
14 20244
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, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 20 papers that have together received 307 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 (2 papers), CAR-T cell therapy research (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Otorhinolaryngology (25 citations), Cancer Research (70 citations), Oncology (92 citations), Immunology (74 citations) and Computational Mathematics (1 citation). Jacqueline E. Mann has collaborated with scholars based in United States and Czechia. Frequent co-authors include J. Chad Brenner, Matthew E. Spector, Christopher R. LaPensee, S. Hunt, William E. Rainey, Valentina Crudo, Andrew C. Birkeland, Gary D. Hammer, Mark E. Prince and Nicole L. Michmerhuizen. Their work appears in journals such as Oral Oncology, Journal for ImmunoTherapy of Cancer, Cancer Immunology Immunotherapy, 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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