Erin Waters

473 total citations
10 papers, 175 citations indexed

About

Erin Waters is a scholar working on Immunology, Oncology and General Health Professions. According to data from OpenAlex, Erin Waters has authored 10 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Oncology and 2 papers in General Health Professions. Recurrent topics in Erin Waters's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Erin Waters is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Erin Waters collaborates with scholars based in United Kingdom, Canada and Australia. Erin Waters's co-authors include David M. Sansom, Neil Halliday, Alan Kennedy, Behzad Rowshanravan, Claudia Hinze, Cayman Williams, Lucy S. K. Walker, Tie Zheng Hou, Daniel Janman and Anne M. Pesenacker and has published in prestigious journals such as The EMBO Journal, Biophysical Journal and Science Translational Medicine.

In The Last Decade

Erin Waters

9 papers receiving 173 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Erin Waters United Kingdom 6 119 66 31 25 16 10 175
Cayman Williams United Kingdom 6 138 1.2× 53 0.8× 37 1.2× 27 1.1× 16 1.0× 13 192
Dominik Trzupek United Kingdom 4 94 0.8× 43 0.7× 35 1.1× 31 1.2× 12 0.8× 6 156
Barbara Mosetter Germany 6 160 1.3× 100 1.5× 45 1.5× 34 1.4× 17 1.1× 7 206
Luisa Gazzurelli Italy 7 103 0.9× 40 0.6× 42 1.4× 21 0.8× 10 0.6× 11 154
Anna‐Sophia Wiekmeijer Netherlands 7 108 0.9× 55 0.8× 65 2.1× 29 1.2× 18 1.1× 11 189
Thordis Hohnstein Germany 4 173 1.5× 63 1.0× 54 1.7× 16 0.6× 21 1.3× 5 252
Bruno Zaragoza France 7 239 2.0× 34 0.5× 33 1.1× 21 0.8× 21 1.3× 8 275
Daniel Janman United Kingdom 4 152 1.3× 42 0.6× 22 0.7× 39 1.6× 15 0.9× 4 182
Rémi Froment Canada 4 137 1.2× 54 0.8× 37 1.2× 12 0.5× 11 0.7× 6 176
Florian Märkl Germany 4 88 0.7× 97 1.5× 29 0.9× 12 0.5× 7 0.4× 8 140

Countries citing papers authored by Erin Waters

Since Specialization
Citations

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

Fields of papers citing papers by Erin Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin Waters

This figure shows the co-authorship network connecting the top 25 collaborators of Erin Waters. A scholar is included among the top collaborators of Erin Waters based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Erin Waters. Erin Waters is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Williams, Cayman, Alan Kennedy, Neil Halliday, et al.. (2025). CD28 and TCR differentially impact naïve and memory T cell responses. PubMed. 4(1). kyaf006–kyaf006.
2.
Kennedy, Alan, Hung‐Chang Chen, Erin Waters, et al.. (2024). Rigid, bivalent CTLA-4 binding to CD80 is required to disrupt the cis CD80/PD-L1 interaction. Cell Reports. 43(9). 114768–114768. 5 indexed citations
3.
Kennedy, Alan, Claudia Hinze, Erin Waters, et al.. (2023). The CTLA ‐4 immune checkpoint protein regulates PD‐L1 : PD ‐1 interaction via transendocytosis of its ligand CD80. The EMBO Journal. 42(5). e111556–e111556. 14 indexed citations
4.
Fox, Thomas A., Lina Petersone, Erin Waters, et al.. (2022). Therapeutic gene editing of T cells to correct CTLA-4 insufficiency. Science Translational Medicine. 14(668). eabn5811–eabn5811. 21 indexed citations
5.
Waters, Erin, Cayman Williams, Alan Kennedy, & David M. Sansom. (2022). In Vitro Analysis of CTLA-4-Mediated Transendocytosis by Regulatory T Cells. Methods in molecular biology. 2559. 171–187. 3 indexed citations
6.
Sturman, Nancy, et al.. (2022). The educational affordances of external clinician observation of GP trainee consultations. Medical Education. 56(9). 915–921. 2 indexed citations
7.
Janman, Daniel, Claudia Hinze, Alan Kennedy, et al.. (2021). Regulation of CTLA‐4 recycling by LRBA and Rab11. Immunology. 164(1). 106–119. 26 indexed citations
8.
Halliday, Neil, Cayman Williams, Alan Kennedy, et al.. (2020). CD86 Is a Selective CD28 Ligand Supporting FoxP3+ Regulatory T Cell Homeostasis in the Presence of High Levels of CTLA-4. Frontiers in Immunology. 11. 600000–600000. 58 indexed citations
9.
Balneaves, Lynda G., et al.. (2020). Patient and Medical Oncologists’ Perspectives on Prescribed Lifestyle Intervention—Experiences of Women with Breast Cancer and Providers. Journal of Clinical Medicine. 9(9). 2815–2815. 9 indexed citations
10.
Khailaie, Sahamoddin, Behzad Rowshanravan, Philippe A. Robert, et al.. (2018). Characterization of CTLA4 Trafficking and Implications for Its Function. Biophysical Journal. 115(7). 1330–1343. 37 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026