Chloe H. Lee

567 total citations
9 papers, 247 citations indexed

About

Chloe H. Lee is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Chloe H. Lee has authored 9 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Chloe H. Lee's work include vaccines and immunoinformatics approaches (8 papers), Immunotherapy and Immune Responses (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Chloe H. Lee is often cited by papers focused on vaccines and immunoinformatics approaches (8 papers), Immunotherapy and Immune Responses (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Chloe H. Lee collaborates with scholars based in United Kingdom, Switzerland and United States. Chloe H. Lee's co-authors include Alison Simmons, Hashem Koohy, Graham S. Ogg, Giorgio Napolitani, Mariolina Salio, Mariana Pereira Pinho, Tatjana Sajic, Ben C. Collins, Fabian Wendt and Isaac Woodhouse and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and Frontiers in Immunology.

In The Last Decade

Chloe H. Lee

9 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chloe H. Lee United Kingdom	7	141	89	65	42	33	9	247
Laura de la Cruz United States	9	157 1.1×	35 0.4×	34 0.5×	26 0.6×	15 0.5×	10	307
Meri R.J. Varkila Netherlands	9	84 0.6×	25 0.3×	52 0.8×	22 0.5×	63 1.9×	18	269
Yunping Zhu China	6	143 1.0×	100 1.1×	99 1.5×	39 0.9×	8 0.2×	22	295
Chien‐Yun Lee Germany	7	226 1.6×	54 0.6×	54 0.8×	135 3.2×	15 0.5×	13	371
Vincent Grass Germany	7	103 0.7×	48 0.5×	176 2.7×	11 0.3×	11 0.3×	12	278
Trung Tran Norway	7	68 0.5×	38 0.4×	86 1.3×	28 0.7×	9 0.3×	14	175
Reuben Samson Canada	7	122 0.9×	20 0.2×	86 1.3×	25 0.6×	16 0.5×	11	268
Sofia Waldemarson Sweden	11	226 1.6×	30 0.3×	38 0.6×	144 3.4×	35 1.1×	19	378
Nickita Mehta United States	10	116 0.8×	113 1.3×	98 1.5×	16 0.4×	77 2.3×	14	329
J. Schmidt Switzerland	4	169 1.2×	82 0.9×	128 2.0×	73 1.7×	92 2.8×	5	333

Countries citing papers authored by Chloe H. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Chloe H. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chloe H. Lee. 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 Chloe H. Lee. The network helps show where Chloe H. Lee may publish in the future.

Co-authorship network of co-authors of Chloe H. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chloe H. Lee. A scholar is included among the top collaborators of Chloe H. Lee 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 Chloe H. Lee. Chloe H. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Lee, Chloe H., et al.. (2023). A systems approach evaluating the impact of SARS-CoV-2 variant of concern mutations on CD8+ T cell responses. PubMed. 3(1). ltad005–ltad005. 3 indexed citations

2.

Lee, Chloe H., Jaesung Huh, Mariana Pereira Pinho, et al.. (2023). A robust deep learning workflow to predict CD8 + T-cell epitopes. Genome Medicine. 15(1). 70–70. 13 indexed citations

3.

Lee, Chloe H., Ruichong Ma, Isaac Woodhouse, et al.. (2022). Evaluating performance of existing computational models in predicting CD8+ T cell pathogenic epitopes and cancer neoantigens. Briefings in Bioinformatics. 23(3). 24 indexed citations

4.

Heer, Sebastian, Chloe H. Lee, Marisa Loi, et al.. (2022). High-resolution profiling of MHC II peptide presentation capacity reveals SARS-CoV-2 CD4 T cell targets and mechanisms of immune escape. Science Advances. 8(17). eabl5394–eabl5394. 17 indexed citations

5.

Lee, Chloe H., Mariana Pereira Pinho, Rosana Ottakandathil Babu, et al.. (2022). HLA‐dependent variation in SARS‐CoV‐2 CD8 ⁺ T cell cross‐reactivity with human coronaviruses. Immunology. 166(1). 78–103. 13 indexed citations

6.

Lee, Chloe H., Evan G. Williams, Tatjana Sajic, et al.. (2021). Diagnostics and correction of batch effects in large‐scale proteomic studies: a tutorial. Molecular Systems Biology. 17(8). e10240–e10240. 89 indexed citations

7.

Lee, Chloe H., et al.. (2021). To what extent does MHC binding translate to immunogenicity in humans?. SHILAP Revista de lepidopterología. 3-4. 100006–100006. 4 indexed citations

8.

Lee, Chloe H., Mariolina Salio, Giorgio Napolitani, et al.. (2020). Predicting Cross-Reactivity and Antigen Specificity of T Cell Receptors. Frontiers in Immunology. 11. 565096–565096. 46 indexed citations

9.

Lee, Chloe H., Mariana Pereira Pinho, Isaac Woodhouse, et al.. (2020). Potential CD8+ T Cell Cross-Reactivity Against SARS-CoV-2 Conferred by Other Coronavirus Strains. Frontiers in Immunology. 11. 579480–579480. 38 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.

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