Zachary Rae

1.4k total citations · 1 hit paper
7 papers, 806 citations indexed

About

Zachary Rae is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Zachary Rae has authored 7 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Zachary Rae's work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (2 papers). Zachary Rae is often cited by papers focused on CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (2 papers). Zachary Rae collaborates with scholars based in United States, United Kingdom and Netherlands. Zachary Rae's co-authors include Michael C. Kelly, Monika Mehta, Jonathan M. Hernandez, Tim F. Greten, David E. Kleiner, Stephen M. Hewitt, Jeremy L. Davis, Kris Ylaya, Lichun Ma and Bradford J. Wood and has published in prestigious journals such as Cell, Blood and Immunity.

In The Last Decade

Zachary Rae

6 papers receiving 802 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tumor Cell Biodiversity Drives Microenvironmental Reprogramming in Liver Cancer

2019 513 citations Lichun Ma, Maria O. Hernandez et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zachary Rae United States	5	381	371	346	231	125	7	806
Tianqiang Jin China	10	292 0.8×	246 0.7×	247 0.7×	128 0.6×	138 1.1×	19	681
Tong Ding China	11	386 1.0×	515 1.4×	283 0.8×	242 1.0×	107 0.9×	17	943
Ik Sun Kim United States	4	466 1.2×	302 0.8×	256 0.7×	187 0.8×	144 1.2×	5	756
Lizhou Jia China	19	433 1.1×	224 0.6×	468 1.4×	265 1.1×	123 1.0×	45	968
Kristi D. Lynn United States	7	317 0.8×	316 0.9×	368 1.1×	174 0.8×	95 0.8×	7	746
Federico Sandoval France	9	777 2.0×	594 1.6×	306 0.9×	147 0.6×	179 1.4×	16	1.1k
Vincenza Carafa Switzerland	12	379 1.0×	147 0.4×	397 1.1×	180 0.8×	108 0.9×	15	801
Rikke Løvendahl Eefsen Denmark	11	375 1.0×	165 0.4×	158 0.5×	136 0.6×	82 0.7×	32	624
Manami Shimomura Japan	15	360 0.9×	345 0.9×	328 0.9×	76 0.3×	52 0.4×	35	763
Chahrazade Kantari‐Mimoun France	10	680 1.8×	766 2.1×	388 1.1×	186 0.8×	111 0.9×	11	1.3k

Countries citing papers authored by Zachary Rae

Since Specialization

Citations

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

Fields of papers citing papers by Zachary Rae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zachary Rae

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

All Works

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7 of 7 papers shown

1.

Davies, John, Lindsey M. Draper, Scott M. Norberg, et al.. (2025). CD22 TCR-engineered T cells exert antileukemia cytotoxicity without causing inflammatory responses. Science Advances. 11(15). eadq4297–eadq4297.

2.

Davies, John, Andrew Sinkoe, Scott M. Norberg, et al.. (2023). Multi-tiered approach to detect autoimmune cross-reactivity of therapeutic T cell receptors. Science Advances. 9(30). eadg9845–eadg9845. 7 indexed citations

3.

Hanada, Ken‐ichi, Chihao Zhao, Jared J. Gartner, et al.. (2022). A phenotypic signature that identifies neoantigen-reactive T cells in fresh human lung cancers. Cancer Cell. 40(5). 479–493.e6. 90 indexed citations

4.

Kaczanowska, Sabina, Daniel W. Beury, Vishaka Gopalan, et al.. (2021). Genetically engineered myeloid cells rebalance the core immune suppression program in metastasis. Cell. 184(8). 2033–2052.e21. 144 indexed citations

5.

Chopp, Laura B., Vishaka Gopalan, Thomas Ciucci, et al.. (2020). An Integrated Epigenomic and Transcriptomic Map of Mouse and Human αβ T Cell Development. Immunity. 53(6). 1182–1201.e8. 50 indexed citations

6.

Ma, Lichun, Maria O. Hernandez, Yongmei Zhao, et al.. (2019). Tumor Cell Biodiversity Drives Microenvironmental Reprogramming in Liver Cancer. Cancer Cell. 36(4). 418–430.e6. 513 indexed citations breakdown →

7.

Masih, Katherine E., Rebecca Gardner, Berkley E. Gryder, et al.. (2019). Detailed Multi-Method Analysis of Bone Marrow from Pediatric Pre-B-ALL Patients Prior to CD19-CAR-T Therapy Subsequently Evidencing Overt CAR-T Resistance. Blood. 134(Supplement_1). 2744–2744. 2 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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