Chris M. Lee

561 total citations
9 papers, 414 citations indexed

About

Chris M. Lee is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Chris M. Lee has authored 9 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Pharmacology. Recurrent topics in Chris M. Lee's work include Natural product bioactivities and synthesis (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Phytochemistry and Biological Activities (2 papers). Chris M. Lee is often cited by papers focused on Natural product bioactivities and synthesis (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Phytochemistry and Biological Activities (2 papers). Chris M. Lee collaborates with scholars based in United States. Chris M. Lee's co-authors include Gary R. Eldridge, Caroline Williams, Peadar Cremin, Lu Zeng, Matt G. Goering, Hélène C. Vervoort, Riyaz Basha, Umesh T. Sankpal, Pius Maliakal and Jimmie Colón and has published in prestigious journals such as Analytical Chemistry, Cancer Research and Journal of Natural Products.

In The Last Decade

Chris M. Lee

9 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris M. Lee United States	8	204	96	57	54	48	9	414
Yi Li Wong Malaysia	13	227 1.1×	101 1.1×	50 0.9×	38 0.7×	19 0.4×	20	582
Chie Honda Japan	12	213 1.0×	97 1.0×	33 0.6×	32 0.6×	26 0.5×	25	428
Qingmei Ye China	11	249 1.2×	76 0.8×	33 0.6×	43 0.8×	34 0.7×	32	512
Xing‐Kai Qian China	15	244 1.2×	108 1.1×	41 0.7×	32 0.6×	23 0.5×	31	568
Kerstin Maria Ewen Germany	11	595 2.9×	147 1.5×	24 0.4×	37 0.7×	27 0.6×	11	939
Da‐Song Yang China	17	391 1.9×	109 1.1×	20 0.4×	52 1.0×	30 0.6×	36	630
L. Notley Australia	7	281 1.4×	88 0.9×	14 0.2×	38 0.7×	28 0.6×	8	717
Paresh C. Sanghani United States	13	321 1.6×	67 0.7×	49 0.9×	60 1.1×	19 0.4×	15	553
Xuri Wu China	13	292 1.4×	36 0.4×	50 0.9×	15 0.3×	42 0.9×	35	414
Anna Gwizdek‐Wiśniewska Poland	13	208 1.0×	38 0.4×	49 0.9×	32 0.6×	72 1.5×	15	513

Countries citing papers authored by Chris M. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Chris M. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris M. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chris M. Lee. A scholar is included among the top collaborators of Chris M. 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 Chris M. Lee. Chris M. 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

Sankpal, Umesh T., Chris M. Lee, Don Eslin, et al.. (2013). Cellular and Organismal Toxicity of the Anti-Cancer Small Molecule, Tolfenamic Acid: a Pre-Clinical Evaluation. Cellular Physiology and Biochemistry. 32(3). 675–686. 21 indexed citations

Sutphin, Robert M., et al.. (2013). Anti-leukemic response of a NSAID, tolfenamic acid. Targeted Oncology. 9(2). 135–144. 8 indexed citations

Sankpal, Umesh T., Susan B. Ingersoll, Mohammed Ibrahim Shukoor, et al.. (2013). Abstract 2159: Expression of Sp1 and survivin in ovarian cancer specimens: potential novel therapeutic targets in disease treatment.. Cancer Research. 73(8_Supplement). 2159–2159. 1 indexed citations

Sankpal, Umesh T., Maen Abdelrahim, Chris M. Lee, et al.. (2012). Small molecule tolfenamic acid inhibits PC‐3 cell proliferation and invasion in vitro, and tumor growth in orthotopic mouse model for prostate cancer. The Prostate. 72(15). 1648–1658. 34 indexed citations

Colón, Jimmie, Cheryl H. Baker, Melissa S. Wason, et al.. (2012). Harnessing nanoparticles to improve toxicity after head and neck radiation. Nanomedicine Nanotechnology Biology and Medicine. 8(7). 1223–1231. 59 indexed citations

Sankpal, Umesh T., Mohammed Ibrahim Shukoor, Pius Maliakal, et al.. (2012). Environmental factors in causing human cancers: emphasis on tumorigenesis. Tumor Biology. 33(5). 1265–1274. 54 indexed citations

Hu, Jin‐Feng, Hye‐Dong Yoo, Caroline Williams, et al.. (2005). Miniaturization of the Structure Elucidation of Novel Natural Products - Two Trace Antibacterial Acylated Caprylic Alcohol Glycosides fromArctostaphylos pumila. Planta Medica. 71(2). 176–180. 19 indexed citations

Yoo, Hye‐Dong, Peadar Cremin, Lu Zeng, et al.. (2005). Suaveolindole, a New Mass-Limited Antibacterial Indolosesquiterpene from Greenwayodendron suaveolens Obtained via High-Throughput Natural Products Chemistry Methods. Journal of Natural Products. 68(1). 122–124. 35 indexed citations

Eldridge, Gary R., Hélène C. Vervoort, Chris M. Lee, et al.. (2002). High-Throughput Method for the Production and Analysis of Large Natural Product Libraries for Drug Discovery. Analytical Chemistry. 74(16). 3963–3971. 183 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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