JM Li

640 citations
22 papers · 483 · h-index 9

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Retinoids in leukemia and cellular processes 4
    • Advanced biosensing and bioanalysis techniques 1
    • Acute Myeloid Leukemia Research 6

JM Li

20 papers receiving 471 citations

Peers

JM Li
Comparison fields: 5 of 77
  • Hematology 277
  • Genetics 69
  • Biochemistry 38
  • Molecular Biology 283
  • Public Health, Environmental and Occupational Health 73
Replace Faith Kwa with:
Faith Kwa Australia
Péter Batár Hungary
J. Bakker Netherlands
Oliver Pagel Germany
Nora Watman Argentina
Mai Ohsawa Japan
Duc Bach Nguyen Germany
LM Snyder United States
R. M. Vigneulle United States
Pramila Krishnamurthy United Kingdom
JM Li relative to Faith Kwa Australia Faith Kwa's profile →
Citations per field
00.5×9.5×
Faith Kwa · 1×
Citations per year

Countries citing papers authored by JM Li

Since Specialization
Citations

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

Fields of papers citing papers by JM Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside JM Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with JM Li Line = papers co-authored together JM Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001129
2 200587
3 201272
4 200957
5 201336
6 200931
7 201220
8 201811
9 201611
10 20068
11 19994
12 20104
13 20233
14 20143
15
Role of G1 phase cyclins and cyclin dependent kinases during hypertrophic growth of adult rat cardiomyocytes
19982
16
Color filter-less technology of LED back light for LCD-TV - art. no. 68410G
20081
17 20131
18
Growth of ZnO single crystal by chemical vapor transport method
20061
19 20121
20 20181

About JM Li

JM Li is a scholar working on Molecular Biology, Hematology, Epidemiology, Public Health, Environmental and Occupational Health and Electrical and Electronic Engineering, having authored 22 papers that have together received 483 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Retinoids in leukemia and cellular processes (4 papers), Acute Lymphoblastic Leukemia research (3 papers), ZnO doping and properties (2 papers), GaN-based semiconductor devices and materials (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Hematology (277 citations), Genetics (69 citations), Biochemistry (38 citations), Molecular Biology (283 citations) and Public Health, Environmental and Occupational Health (73 citations). JM Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shyh‐Jye Chen, Z-X Shen, Z Chen, W-L Zhao, J Chen, B Chen, Chao Niu, ZY Wang, Weili Wu and Hong-Min Yan. Their work appears in journals such as Leukemia, Planta Medica, Journal of Human Hypertension, Semiconductor Science and Technology and The International Journal of Tuberculosis and Lung Disease.

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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