Jingmei Li

20.5k citations
167 papers · 2.7k · h-index 28

Impact in

Papers in

Jingmei Li

158 papers receiving 2.7k citations

Peers

Jingmei Li
Comparison fields: 5 of 157
  • Pulmonary and Respiratory Medicine 710
  • Oncology 522
  • Cancer Research 250
  • Artificial Intelligence 299
  • Radiology, Nuclear Medicine and Imaging 179
Replace Jeong Hwan Park with:
Jeong Hwan Park South Korea
Bing Hu China
Marie Synnestvedt United States
Tong Xiang China
Tianan Jiang China
Lei Guo China
Seo Young Park South Korea
Rosnah Binti Zain Malaysia
Anurag Srivastava India
Richard M. Fagerstrom United States
Jingmei Li relative to Jeong Hwan Park South Korea Jeong Hwan Park's profile →
Citations per field
00.5×3.3×
Jeong Hwan Park · 1×
Citations per year

Countries citing papers authored by Jingmei Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingmei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jingmei 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 Jingmei Li Line = papers co-authored together Jingmei Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014154
2 2016133
3 2013105
4 201599
5 201290
6 201785
7 202268
8 201962
9 201461
10 202059
11 201555
12 201548
13 201846
14 201545
15 201342
16 201942
17 201542
18 201641
19 201538
20 200938

About Jingmei Li

Jingmei Li is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Genetics and Electrical and Electronic Engineering, having authored 167 papers that have together received 2.7k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (24 papers), Global Cancer Incidence and Screening (18 papers), BRCA gene mutations in cancer (12 papers), Cancer Risks and Factors (9 papers), Breast Cancer Treatment Studies (8 papers), Gut microbiota and health (4 papers), Cancer Genomics and Diagnostics (4 papers) and Organic Light-Emitting Diodes Research (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (710 citations), Oncology (522 citations), Cancer Research (250 citations), Artificial Intelligence (299 citations) and Radiology, Nuclear Medicine and Imaging (179 citations). Jingmei Li has collaborated with scholars based in Singapore, China and Sweden. Frequent co-authors include Kamila Czene, Per Hall, Keith Humphreys, Mikael Eriksson, Peh Joo Ho, Louise Eriksson, Mikael Hartman, Johanna Holm, Isabel dos‐Santos‐Silva and John Shepherd. Their work appears in journals such as Breast Cancer Research, PLoS ONE, Scientific Reports, Cancers and International Journal of Molecular Sciences.

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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