Keith Le

425 total citations
10 papers, 324 citations indexed

About

Keith Le is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Keith Le has authored 10 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Keith Le's work include Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Immune Response and Inflammation (2 papers) and Antimicrobial Peptides and Activities (2 papers). Keith Le is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Immune Response and Inflammation (2 papers) and Antimicrobial Peptides and Activities (2 papers). Keith Le collaborates with scholars based in United States, United Kingdom and Austria. Keith Le's co-authors include Zhifang Zhang, John E. Shively, Stanley F. Nelson, Qi Wang, Christopher Seungkyu Lee, Meenakshi Roy, Qiang Xu, Katherine Mitsouras, Richard Jove and Paul J. Yazaki and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Immunity.

In The Last Decade

Keith Le

10 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith Le United States	8	138	107	98	40	28	10	324
Janielle P. Maynard United States	11	109 0.8×	116 1.1×	140 1.4×	31 0.8×	64 2.3×	18	384
Janina Osman Sweden	10	109 0.8×	57 0.5×	70 0.7×	14 0.3×	47 1.7×	14	309
Laëtitia Douguet France	10	95 0.7×	152 1.4×	96 1.0×	21 0.5×	26 0.9×	13	304
Vinh Dao United States	9	142 1.0×	135 1.3×	137 1.4×	8 0.2×	18 0.6×	15	346
Bili Wu China	9	136 1.0×	54 0.5×	111 1.1×	11 0.3×	22 0.8×	9	310
Jennifer Dine United States	7	114 0.8×	71 0.7×	162 1.7×	9 0.2×	39 1.4×	14	309
Zhaoqian Liu China	8	173 1.3×	50 0.5×	80 0.8×	36 0.9×	51 1.8×	26	305
Ting‐Yu Lin Taiwan	10	178 1.3×	55 0.5×	69 0.7×	12 0.3×	53 1.9×	17	317
Quanfu Ma China	11	172 1.2×	41 0.4×	87 0.9×	10 0.3×	59 2.1×	23	335
Ranlin Yan China	9	145 1.1×	63 0.6×	100 1.0×	14 0.3×	63 2.3×	13	324

Countries citing papers authored by Keith Le

Since Specialization

Citations

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

Fields of papers citing papers by Keith Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Le

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

All Works

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10 of 10 papers shown

Ma, Ning, S. Bhattacharya, Zuzana Jandová, et al.. (2025). Frustration in the protein-protein interface plays a central role in the cooperativity of PROTAC ternary complexes. Nature Communications. 16(1). 8595–8595. 2 indexed citations

Velden, Wijnand J. C. van der, Yoon Namkung, Anita K. Nivedha, et al.. (2023). Unraveling allostery within the angiotensin II type 1 receptor for Gα _q and β-arrestin coupling. Science Signaling. 16(797). eadf2173–eadf2173. 10 indexed citations

Zhang, Zhifang, et al.. (2022). Reversal of obesity development in Ceacam1^−/− male mice by bone marrow transplantation or introduction of the human CEACAM1 gene. Obesity. 30(7). 1351–1356. 5 indexed citations

Zhang, Zhifang, Tung Nguyen, Maciej Kujawski, et al.. (2019). CEACAM1 regulates the IL-6 mediated fever response to LPS through the RP105 receptor in murine monocytes. BMC Immunology. 20(1). 7–7. 25 indexed citations

Zhang, Zhifang, et al.. (2019). CXCR2 specific endocytosis of immunomodulatory peptide LL-37 in human monocytes and formation of LL-37 positive large vesicles in differentiated monoosteophils. Bone Reports. 12. 100237–100237. 11 indexed citations

Zhang, Zhifang, Jinong Feng, Allen Mao, et al.. (2018). SNPs in inflammatory genes CCL11, CCL4 and MEFV in a fibromyalgia family study. PLoS ONE. 13(6). e0198625–e0198625. 10 indexed citations

Zhang, Chunyan, Xin Hong, Wang Zhang, et al.. (2016). CD5 Binds to Interleukin-6 and Induces a Feed-Forward Loop with the Transcription Factor STAT3 in B Cells to Promote Cancer. Immunity. 44(4). 913–923. 114 indexed citations

Feng, Jinong, Zhifang Zhang, Xiwei Wu, et al.. (2013). Discovery of Potential New Gene Variants and Inflammatory Cytokine Associations with Fibromyalgia Syndrome by Whole Exome Sequencing. PLoS ONE. 8(6). e65033–e65033. 37 indexed citations

Jin, Lan, Yun Li, Charng-Jui Chen, et al.. (2008). Direct Interaction of Tumor Suppressor CEACAM1 with Beta Catenin: Identification of Key Residues in the Long Cytoplasmic Domain. Experimental Biology and Medicine. 233(7). 849–859. 31 indexed citations

10.

Le, Keith, Katherine Mitsouras, Meenakshi Roy, et al.. (2004). Detecting tissue-specific regulation of alternative splicing as a qualitative change in microarray data. Nucleic Acids Research. 32(22). e180–e180. 79 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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