Lisha Wang

5.0k citations
176 papers · 3.1k · h-index 31

Impact in

Papers in

Lisha Wang

165 papers receiving 3.1k citations

Peers

Lisha Wang
Comparison fields: 5 of 153
  • Biological Psychiatry 151
  • Cancer Research 639
  • Behavioral Neuroscience 83
  • Molecular Biology 1.4k
  • Pulmonary and Respiratory Medicine 471
Replace Ting Huang with:
Ting Huang China
Jinhua Wang China
Marco A. Velasco‐Velázquez Mexico
Gianpiero Pescarmona Italy
Paolo Fagone Italy
Laurent Vergnes United States
Xiaomin Song China
Lara Gibellini Italy
Ming Zhang China
Lisha Wang relative to Ting Huang China Ting Huang's profile →
Citations per field
00.5×4.3×
Ting Huang · 1×
Citations per year

Countries citing papers authored by Lisha Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lisha Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012196
2 2011114
3 2019103
4 201378
5 201577
6 202066
7 201363
8 201559
9 201959
10 200258
11 201655
12
MYBL2 is an independent prognostic marker that has tumor-promoting functions in colorectal cancer.
201551
13 201551
14 202048
15 201345
16 201943
17 202442
18 201239
19 201539
20 201937

About Lisha Wang

Lisha Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Cancer Research, having authored 176 papers that have together received 3.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Bladder and Urothelial Cancer Treatments (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Heat shock proteins research (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Pharmacological Effects of Natural Compounds (6 papers), Respiratory viral infections research (6 papers) and Tryptophan and brain disorders (5 papers). The work is most often cited by research in Biological Psychiatry (151 citations), Cancer Research (639 citations), Behavioral Neuroscience (83 citations), Molecular Biology (1.4k citations) and Pulmonary and Respiratory Medicine (471 citations). Lisha Wang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Xiang Du, Liang Cheng, Qi Chang, Xiuying Xiao, Weiqi Sheng, Shujuan Ni, Rodolfo Montironi, Tao Xue, Xinmin Liu and Qifeng Wang. Their work appears in journals such as Frontiers in Pharmacology, PLoS ONE, Cancer Research, Journal of Visualized Experiments and Agronomy.

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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