Jeff Kwak

1.5k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Jeff Kwak is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jeff Kwak has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Jeff Kwak's work include Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (5 papers) and Immune cells in cancer (5 papers). Jeff Kwak is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (5 papers) and Immune cells in cancer (5 papers). Jeff Kwak collaborates with scholars based in United States, Austria and South Africa. Jeff Kwak's co-authors include Raphael A. Nemenoff, Emily K. Kleczko, Vanessa Leone, A. Glawe, Howard Li, Mae J. Ciancio, Kathy J. LePard, Eugene B. Chang, Dionysios A. Antonopoulos and Yunwei Wang and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jeff Kwak

15 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Exercise Prevents Weight Gain and Alters the Gut Microbiota in a Mouse Model of High Fat Diet-Induced Obesity

2014 468 citations Christian C. Evans, Kathy J. LePard et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Kwak United States	12	613	322	308	295	136	15	1.1k
Hyunji Ryu United States	12	650 1.1×	369 1.1×	168 0.5×	276 0.9×	46 0.3×	15	1.3k
Jiajia Jin China	16	579 0.9×	208 0.6×	117 0.4×	140 0.5×	241 1.8×	43	1.1k
Anthony Virtue United States	12	631 1.0×	533 1.7×	235 0.8×	119 0.4×	76 0.6×	17	1.3k
Elizabeth A. Murphy United States	11	573 0.9×	472 1.5×	120 0.4×	232 0.8×	48 0.4×	17	1.3k
Brooks Scull United States	16	595 1.0×	256 0.8×	486 1.6×	222 0.8×	75 0.6×	28	1.3k
Daniel A. Patten United Kingdom	16	467 0.8×	335 1.0×	316 1.0×	116 0.4×	41 0.3×	35	1.1k
Agnieszka D. Truax United States	16	932 1.5×	543 1.7×	99 0.3×	147 0.5×	64 0.5×	25	1.3k
Nicolette Huijkman Netherlands	16	516 0.8×	114 0.4×	157 0.5×	224 0.8×	59 0.4×	31	1.2k
Natalia Smirnova France	15	647 1.1×	173 0.5×	375 1.2×	77 0.3×	105 0.8×	22	1.1k

Countries citing papers authored by Jeff Kwak

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Kwak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Kwak

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

All Works

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15 of 15 papers shown

Kwak, Jeff, et al.. (2025). Targeting neutrophils for cancer therapy. Nature Reviews Drug Discovery. 24(9). 666–684. 4 indexed citations

Kwak, Jeff, et al.. (2024). CXCR1/2 antagonism inhibits neutrophil function and not recruitment in cancer. OncoImmunology. 13(1). 2384674–2384674. 4 indexed citations

Kleczko, Emily K., Trista K. Hinz, Teresa T. Nguyen, et al.. (2023). Durable responses to alectinib in murine models of EML4-ALK lung cancer requires adaptive immunity. npj Precision Oncology. 7(1). 15–15. 13 indexed citations

Zhang, Huajia, Xiaodong Zhu, Travis J. Friesen, et al.. (2022). Annexin A2/TLR2/MYD88 pathway induces arginase 1 expression in tumor-associated neutrophils. Journal of Clinical Investigation. 132(22). 39 indexed citations

Vinogradskiy, Yevgeniy, Richard Castillo, Edward Castillo, et al.. (2021). Results of a Multi-Institutional Phase II Clinical Trial for 4DCT-Ventilation Functional Avoidance Thoracic Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 111(3). S8–S9. 2 indexed citations

Neuwelt, Alexander, Abigail K. Kimball, Amber M. Johnson, et al.. (2020). Cancer cell-intrinsic expression of MHC II in lung cancer cell lines is actively restricted by MEK/ERK signaling and epigenetic mechanisms. Journal for ImmunoTherapy of Cancer. 8(1). e000441–e000441. 37 indexed citations

Johnson, Amber M., Bonnie Bullock, Alexander Neuwelt, et al.. (2020). Cancer Cell–Intrinsic Expression of MHC Class II Regulates the Immune Microenvironment and Response to Anti–PD-1 Therapy in Lung Adenocarcinoma. The Journal of Immunology. 204(8). 2295–2307. 84 indexed citations

Sippel, Trisha R., Amber M. Johnson, Howard Li, et al.. (2019). Activation of PPARγ in Myeloid Cells Promotes Progression of Epithelial Lung Tumors through TGFβ1. Molecular Cancer Research. 17(8). 1748–1758. 14 indexed citations

Bullock, Bonnie, Abigail K. Kimball, Joanna M. Poczobutt, et al.. (2019). Tumor-intrinsic response to IFNγ shapes the tumor microenvironment and anti–PD-1 response in NSCLC. Life Science Alliance. 2(3). e201900328–e201900328. 39 indexed citations

10.

Kleczko, Emily K., Jeff Kwak, Erin L. Schenk, & Raphael A. Nemenoff. (2019). Targeting the Complement Pathway as a Therapeutic Strategy in Lung Cancer. Frontiers in Immunology. 10. 954–954. 85 indexed citations

11.

Li, Howard, Maria McSharry, Amber M. Johnson, et al.. (2018). Targeted overexpression of prostacyclin synthase inhibits lung tumor progression by recruiting CD4+ T lymphocytes in tumors that express MHC class II. OncoImmunology. 7(5). e1423182–e1423182. 16 indexed citations

12.

Kwak, Jeff, Jennifer Laskowski, Howard Li, et al.. (2017). Complement Activation via a C3a Receptor Pathway Alters CD4+ T Lymphocytes and Mediates Lung Cancer Progression. Cancer Research. 78(1). 143–156. 103 indexed citations

13.

Li, Howard, Maria McSharry, Bonnie Bullock, et al.. (2017). The Tumor Microenvironment Regulates Sensitivity of Murine Lung Tumors to PD-1/PD-L1 Antibody Blockade. Cancer Immunology Research. 5(9). 767–777. 128 indexed citations

14.

Singleton, Katherine R., Trista K. Hinz, Emily K. Kleczko, et al.. (2015). Kinome RNAi Screens Reveal Synergistic Targeting of MTOR and FGFR1 Pathways for Treatment of Lung Cancer and HNSCC. Cancer Research. 75(20). 4398–4406. 47 indexed citations

15.

Evans, Christian C., Kathy J. LePard, Jeff Kwak, et al.. (2014). Exercise Prevents Weight Gain and Alters the Gut Microbiota in a Mouse Model of High Fat Diet-Induced Obesity. PLoS ONE. 9(3). e92193–e92193. 468 indexed citations breakdown →

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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