Jeffrey Leong

3.2k total citations · 1 hit paper
29 papers, 2.2k citations indexed

About

Jeffrey Leong is a scholar working on Immunology, Cancer Research and Oncology. According to data from OpenAlex, Jeffrey Leong has authored 29 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 9 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Jeffrey Leong's work include Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (9 papers) and MicroRNA in disease regulation (9 papers). Jeffrey Leong is often cited by papers focused on Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (9 papers) and MicroRNA in disease regulation (9 papers). Jeffrey Leong collaborates with scholars based in United States, Austria and Sweden. Jeffrey Leong's co-authors include Todd A. Fehniger, Rizwan Romee, Ryan P. Sullivan, Megan A. Cooper, Stephanie Schneider, Julie Chase, Catherine R. Keppel, Brea A. Jewell, Timothy Schappe and Melissa M. Berrien-Elliott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Jeffrey Leong

28 papers receiving 2.2k citations

Hit Papers

Cytokine-induced memory-like natural killer cells exhibit... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Leong United States 16 2.0k 955 351 305 255 29 2.2k
Genny Del Zotto Italy 17 1.4k 0.7× 658 0.7× 347 1.0× 171 0.6× 90 0.4× 39 1.8k
Martin Guimond United States 23 1.2k 0.6× 465 0.5× 593 1.7× 642 2.1× 110 0.4× 43 2.0k
Hilary J. McKenna Canada 16 1.9k 1.0× 600 0.6× 685 2.0× 557 1.8× 70 0.3× 20 2.6k
Noémi Nagy Sweden 24 787 0.4× 867 0.9× 530 1.5× 122 0.4× 144 0.6× 71 1.8k
Stefania Marcenaro Italy 16 2.8k 1.4× 894 0.9× 239 0.7× 735 2.4× 53 0.2× 20 3.0k
Erwan Mortier France 19 1.7k 0.9× 614 0.6× 288 0.8× 141 0.5× 130 0.5× 34 2.0k
Juan J. Pérez‐Villar Spain 18 1.7k 0.9× 592 0.6× 315 0.9× 87 0.3× 52 0.2× 24 2.0k
Chiwen Chang United Kingdom 21 2.0k 1.0× 371 0.4× 217 0.6× 132 0.4× 56 0.2× 22 2.3k
Junrong Xia United States 6 1.6k 0.8× 842 0.9× 304 0.9× 57 0.2× 81 0.3× 6 2.0k

Countries citing papers authored by Jeffrey Leong

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Leong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Leong

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

All Works

20 of 20 papers shown
1.
Wagner, Julia, Maximillian Rosario, Rizwan Romee, et al.. (2017). CD56bright NK cells exhibit potent antitumor responses following IL-15 priming. Journal of Clinical Investigation. 127(11). 4042–4058. 216 indexed citations
2.
Leong, Jeffrey, et al.. (2016). Transcriptional and post-transcriptional regulation of NK cell development and function. Clinical Immunology. 177. 60–69. 25 indexed citations
3.
Wagner, Julia A., Melissa M. Berrien-Elliott, Maximillian Rosario, et al.. (2016). Cytokine-Induced Memory-Like Differentiation Enhances Unlicensed Natural Killer Cell Antileukemia and FcγRIIIa-Triggered Responses. Biology of Blood and Marrow Transplantation. 23(3). 398–404. 43 indexed citations
4.
Wagner, Julia A., Rizwan Romee, Maximillian Rosario, et al.. (2016). Human CD56bright NK Cells Acquire Potent Anti-Leukemia Functionality Following IL-15 Priming. Blood. 128(22). 550–550.
5.
Romee, Rizwan, Maximillian Rosario, Melissa M. Berrien-Elliott, et al.. (2016). Cytokine-induced memory-like natural killer cells exhibit enhanced responses against myeloid leukemia. Science Translational Medicine. 8(357). 357ra123–357ra123. 660 indexed citations breakdown →
6.
Leong, Jeffrey, Stephanie E. Schneider, Ryan P. Sullivan, et al.. (2015). PTEN regulates natural killer cell trafficking in vivo. Proceedings of the National Academy of Sciences. 112(7). E700–9. 26 indexed citations
7.
Leong, Jeffrey, Julie Chase, Rizwan Romee, et al.. (2014). Preactivation with IL-12, IL-15, and IL-18 Induces CD25 and a Functional High-Affinity IL-2 Receptor on Human Cytokine-Induced Memory-like Natural Killer Cells. Biology of Blood and Marrow Transplantation. 20(4). 463–473. 202 indexed citations
8.
Leong, Jeffrey, et al.. (2014). PTEN Regulates Natural Killer Cell Trafficking in Vivo. Blood. 124(21). 753–753. 1 indexed citations
9.
Rosario, Maximillian, Rizwan Romee, Stephanie Schneider, et al.. (2014). Human Cytokine-Induced Memory-like (CIML) NK Cells Are Active Against Myeloid Leukemia in Vitro and in Vivo. Blood. 124(21). 1117–1117. 8 indexed citations
10.
Leong, Jeffrey, Ryan P. Sullivan, & Todd A. Fehniger. (2014). microRNA management of NK‐cell developmental and functional programs. European Journal of Immunology. 44(10). 2862–2868. 36 indexed citations
11.
Sullivan, Ryan P., Jeffrey Leong, & Todd A. Fehniger. (2013). MicroRNA regulation of natural killer cells. Frontiers in Immunology. 4. 44–44. 47 indexed citations
13.
Sullivan, Ryan P., Leslie A. Fogel, Jeffrey Leong, et al.. (2013). MicroRNA-155 Tunes Both the Threshold and Extent of NK Cell Activation via Targeting of Multiple Signaling Pathways. The Journal of Immunology. 191(12). 5904–5913. 49 indexed citations
14.
Romee, Rizwan, Stephanie Schneider, Jeffrey Leong, et al.. (2012). Cytokine activation induces human memory-like NK cells. Blood. 120(24). 4751–4760. 491 indexed citations
15.
Leong, Jeffrey, Carol Kunzel, & Thomas J. Cangialosi. (2012). Management of the American Heart Association's guidelines for orthodontic treatment of patients at risk for infective endocarditis. American Journal of Orthodontics and Dentofacial Orthopedics. 142(3). 348–354. 6 indexed citations
16.
Chase, Julie, Jeffrey Leong, Rizwan Romee, & Todd A. Fehniger. (2012). Cytokine Activation Induces CD25 Expression and a Signaling-Competent High-Affinity IL-2 Receptor On CD56dim Human NK Cells.. Blood. 120(21). 2159–2159. 2 indexed citations
17.
Leong, Jeffrey, Ryan P. Sullivan, & Todd A. Fehniger. (2012). Natural Killer Cell Regulation by MicroRNAs in Health and Disease. SHILAP Revista de lepidopterología. 2012. 1–12. 25 indexed citations
18.
Guimond, Martin, Aharon G. Freud, Hsiaoyin Mao, et al.. (2010). In Vivo Role of Flt3 Ligand and Dendritic Cells in NK Cell Homeostasis. The Journal of Immunology. 184(6). 2769–2775. 51 indexed citations
19.
Fehniger, Todd A., Todd Wylie, Elizabeth Germino, et al.. (2010). Next-generation sequencing identifies the natural killer cell microRNA transcriptome. Genome Research. 20(11). 1590–1604. 120 indexed citations
20.
Tamang, David, et al.. (2009). Lipid‐dependent cytotoxicity by the lipase PLRP2 and by PLRP2‐positive cytotoxic T lymphocytes (CTLs). Cell Biochemistry and Function. 27(5). 296–308. 6 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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