Mark Li

719 total citations
11 papers, 248 citations indexed

About

Mark Li is a scholar working on Molecular Biology, Cell Biology and Mechanical Engineering. According to data from OpenAlex, Mark Li has authored 11 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Mechanical Engineering. Recurrent topics in Mark Li's work include Metallurgical Processes and Thermodynamics (3 papers), Cancer-related molecular mechanisms research (3 papers) and Adipose Tissue and Metabolism (2 papers). Mark Li is often cited by papers focused on Metallurgical Processes and Thermodynamics (3 papers), Cancer-related molecular mechanisms research (3 papers) and Adipose Tissue and Metabolism (2 papers). Mark Li collaborates with scholars based in United States, Canada and Australia. Mark Li's co-authors include Mansoor Barati, T. Utigard, M.D. Johnston, Leili Tafaghodi Khajavi, John G. Coles, Milica Radisic, Ling Yang, Dan Su, Wenjie Yu and Huojun Cao and has published in prestigious journals such as Science, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Mark Li

10 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Li United States	6	113	85	47	47	43	11	248
Xing Ran China	8	74 0.7×	38 0.4×	32 0.7×	26 0.6×	69 1.6×	33	205
Hongjuan Yan China	9	78 0.7×	43 0.5×	111 2.4×	34 0.7×	59 1.4×	24	313
Shiyun Dong China	9	88 0.8×	90 1.1×	51 1.1×	11 0.2×	99 2.3×	15	317
Ziyao Chen China	12	94 0.8×	117 1.4×	20 0.4×	59 1.3×	74 1.7×	40	325
Chao Wei China	10	59 0.5×	81 1.0×	31 0.7×	166 3.5×	67 1.6×	26	326
Takahiro Iida Japan	10	140 1.2×	21 0.2×	34 0.7×	45 1.0×	124 2.9×	34	367
Anbin Wang China	10	162 1.4×	80 0.9×	65 1.4×	35 0.7×	25 0.6×	29	358
Yuhui Feng China	11	61 0.5×	153 1.8×	47 1.0×	81 1.7×	66 1.5×	23	311
Zichen Wei China	11	140 1.2×	40 0.5×	13 0.3×	12 0.3×	200 4.7×	21	324
Jingxuan Zhao China	7	91 0.8×	54 0.6×	39 0.8×	100 2.1×	145 3.4×	19	328

Countries citing papers authored by Mark Li

Since Specialization

Citations

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

Fields of papers citing papers by Mark Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Li

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Auger, Christopher, Bo Yuan, Masanori Fujimoto, et al.. (2026). Mitochondrial control of fuel switching via carnitine biosynthesis. Science. 391(6786). eady5532–eady5532.

2.

Auger, Christopher, Mark Li, Masanori Fujimoto, et al.. (2025). Identification of a molecular resistor that controls UCP1-independent Ca2+ cycling thermogenesis in adipose tissue. Cell Metabolism. 37(6). 1311–1325.e9. 5 indexed citations

3.

Li, Mark, Qingwen Qian, Wenjie Yu, et al.. (2021). A putative long noncoding RNA-encoded micropeptide maintains cellular homeostasis in pancreatic β cells. Molecular Therapy — Nucleic Acids. 26. 307–320. 26 indexed citations

4.

Cao, Huojun, Mark Li, Mason Sweat, et al.. (2019). Comprehensive identification of micropeptides encoded by long noncoding RNAs in human tissues. The FASEB Journal. 33(S1). 3 indexed citations

5.

Haseltine, J., Michael Offin, Mackenzie L. Myers, et al.. (2019). Tumor volumetric correlation with plasma cell free DNA (cfDNA) mutation detection in metastatic lung cancers.. Journal of Clinical Oncology. 37(15_suppl). e14610–e14610. 1 indexed citations

6.

Cole, Eric S., Mark Li, Claire Smith, et al.. (2018). Restoration of cellular integrity following “ballistic” pronuclear exchange during Tetrahymena conjugation. Developmental Biology. 444(1). 33–40. 1 indexed citations

7.

Nunes, Sara S., Nicole Feric, Aric Pahnke, et al.. (2016). Human Stem Cell-Derived Cardiac Model of Chronic Drug Exposure. ACS Biomaterials Science & Engineering. 3(9). 1911–1921. 20 indexed citations

8.

Li, Mark, T. Utigard, & Mansoor Barati. (2014). Removal of Boron and Phosphorus from Silicon Using CaO-SiO2-Na2O-Al2O3 Flux. Metallurgical and Materials Transactions B. 45(1). 221–228. 52 indexed citations

9.

Li, Mark, T. Utigard, & Mansoor Barati. (2014). Kinetics of Na2O and B2O3 Loss From CaO-SiO2-Al2O3 Slags. Metallurgical and Materials Transactions B. 46(1). 74–82. 24 indexed citations

10.

Traister, Alexandra, Stéphane Massé, Xiaojing Dai, et al.. (2012). ILK Induces Cardiomyogenesis in the Human Heart. PLoS ONE. 7(5). e37802–e37802. 20 indexed citations

11.

Johnston, M.D., et al.. (2012). High-Temperature Refining of Metallurgical-Grade Silicon: A Review. JOM. 64(8). 935–945. 96 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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