Priscilla S. Redd

1.7k citations
27 papers · 1.2k indexed · h-index 15

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune cells in cancer 10
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 4
    • Immune Response and Inflammation 3
    • Cancer Immunotherapy and Biomarkers 11

Priscilla S. Redd

26 papers receiving 1.2k citations

Peers

Priscilla S. Redd
Comparison fields: 5 of 81
  • Immunology 617
  • Oncology 553
  • Cancer Research 209
  • Rheumatology 126
  • Biotechnology 57
Replace John D. Klement with:
John D. Klement United States
Yael Raz Israel
Carmen Oñate Spain
Marion Espéli France
France Bourdeau Canada
Michele Minopoli Italy
Miwako Narita Japan
Kyle K. Payne United States
Olatz Zenarruzabeitia Spain
Priscilla S. Redd relative to John D. Klement United States John D. Klement's profile →
Citations per field
00.5×
John D. Klement · 1×
Citations per year

Countries citing papers authored by Priscilla S. Redd

Since Specialization
Citations

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

Fields of papers citing papers by Priscilla S. Redd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priscilla S. Redd. 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 Priscilla S. Redd. The network helps show where Priscilla S. Redd may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20234
5 202383
6 20234
7 202230
8 20218
9 202196
10 202061
11 202013
12 20204
13 201996
14 20191
15 201837
16 201876
17 2018235
18 201763
19 201620
20 2016185

About Priscilla S. Redd

Priscilla S. Redd is a scholar working on Immunology, Oncology, Biotechnology, Rheumatology and Genetics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Immune cells in cancer (10 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (4 papers), Cancer Research and Treatments (3 papers), Bone and Dental Protein Studies (3 papers), Immune Response and Inflammation (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Immunology (617 citations), Oncology (553 citations), Cancer Research (209 citations), Rheumatology (126 citations) and Biotechnology (57 citations). Priscilla S. Redd has collaborated with scholars based in United States, Georgia and Egypt. Frequent co-authors include Kebin Liu, Chunwan Lu, John D. Klement, Dafeng Yang, Mohammed L. Ibrahim, Natasha M. Savage, Amy V. Paschall, Jeffrey R. Lee, Dakota B. Poschel and Asha Nayak-Kapoor. Their work appears in journals such as The Journal of Immunology, Cancer Research, Cancers, OncoImmunology and Journal for ImmunoTherapy of Cancer.

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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