Stella Redpath

1.5k citations
17 papers · 1.3k indexed · 1 hit paper · h-index 9

Stella Redpath

16 papers receiving 1.2k citations

Hit Papers

T-cell-receptor affinity and thymocyte positive selection5371996202620062016100200300400500

Peers

Stella Redpath
Comparison fields: 5 of 95
  • Immunology 772
  • Oncology 251
  • Radiology, Nuclear Medicine and Imaging 145
  • Epidemiology 216
  • Infectious Diseases 115
Replace Norbert Hilf with:
Norbert Hilf Germany
Eric S. Groves United States
Natalija Budimir United States
Matthew R. Olson United States
Harpreet Singh‐Jasuja Germany
Ramon Roozendaal Netherlands
Machie Sakuma Japan
Adrian P. Kelly United Kingdom
Isabelle Miconnet France
Laura Raddrizzani Italy
Stella Redpath relative to Norbert Hilf Germany Norbert Hilf's profile →
Citations per field
00.5×2.7×
Norbert Hilf · 1×
Citations per year

Countries citing papers authored by Stella Redpath

Since Specialization
Citations

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

Fields of papers citing papers by Stella Redpath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20251
2 20231
3 20215
4 20214
5 202111
6 20200
7 20202
8 20168
9 200935
10 20097
11 2006178
12 2001273
13 200121
14 20007
15 1999132
16 199939
17
T-cell-receptor affinity and thymocyte positive selectionbreakdown →
1996537

About Stella Redpath

Stella Redpath is a scholar working on Biophysics, Virology, Cancer Research, Immunology and Parasitology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Immunotherapy and Immune Responses (3 papers), Cancer Genomics and Diagnostics (3 papers), Cytomegalovirus and herpesvirus research (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Computational Drug Discovery Methods (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Immunology (772 citations), Oncology (251 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Epidemiology (216 citations) and Infectious Diseases (115 citations). Stella Redpath has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Nicholas R. J. Gascoigne, Peter Ghazal, S. Munir Alam, Stephen C. Jameson, Paul Travers, Ana Angulo, Mitsuo Sato, Michael D. Story, Amit Kumar Das and Jerry W. Shay. Their work appears in journals such as Journal of Visualized Experiments, The Journal of Immunology, Journal of Personalized Medicine, Clinical Cancer Research and Immunologic 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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