Luping Lin

24 papers receiving 776 citations

Peers

Luping Lin
Comparison fields: 5 of 98
  • Oncology 268
  • Cancer Research 141
  • Pathology and Forensic Medicine 118
  • Pulmonary and Respiratory Medicine 209
  • Molecular Biology 422
Replace Benjamin I. Leach with:
Benjamin I. Leach United States
Veronica Aran Brazil
Yousef A. Fouad Egypt
Chen Gao China
Idrees Mian United States
Erin L. Sausville United States
Christina Susanne Mullins Germany
Carolina Armengol Spain
Feng Peng China
Lorraine Mooney United Kingdom
Luping Lin relative to Benjamin I. Leach United States Benjamin I. Leach's profile →
Citations per field
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Benjamin I. Leach · 1×
Citations per year

Countries citing papers authored by Luping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Luping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015143
2 201473
3 202071
4 201269
5 201162
6 201657
7 201055
8 201254
9 202148
10 201633
11 201531
12 201728
13 202410
14 20209
15 20058
16 20077
17 20246
18
Therapeutic effect of integrated traditional Chinese and western medicine on COVID-19 in Guangzhou
20205
19 20224
20 20243

About Luping Lin

Luping Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cell Biology and Cancer Research, having authored 26 papers that have together received 784 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Melanoma and MAPK Pathways (3 papers), Cancer Genomics and Diagnostics (2 papers), Diet and metabolism studies (2 papers), Epigenetics and DNA Methylation (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Psychedelics and Drug Studies (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Oncology (268 citations), Cancer Research (141 citations), Pathology and Forensic Medicine (118 citations), Pulmonary and Respiratory Medicine (209 citations) and Molecular Biology (422 citations). Luping Lin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Trever G. Bivona, David P. Carbone, Victor Olivas, Elton Chan, Saurabh Asthana, Jenny Yan, Dana S. Neel, Sourav Bandyopadhyay, Gideon Bollag and Matthew A. Gubens. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Scientific Reports, JNCI Journal of the National Cancer Institute and Genes & Genetic Systems.

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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