Lisha Wang

1.3k total citations · 1 hit paper
15 papers, 557 citations indexed

About

Lisha Wang is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Lisha Wang has authored 15 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 6 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Lisha Wang's work include Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immunotherapy and Immune Responses (4 papers). Lisha Wang is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immunotherapy and Immune Responses (4 papers). Lisha Wang collaborates with scholars based in China, United States and Australia. Lisha Wang's co-authors include Peter S. Nelson, Weiping Zou, Navonil De Sarkar, Melissa A. Reimers, Marcin Cieślik, Jonathan Chou, Ajjai Alva, Ning Yu, Lakshmi P. Kunju and Felix Y. Feng and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Frontiers in Immunology.

In The Last Decade

Lisha Wang

14 papers receiving 553 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inactivation of CDK12 Delineates a Distinct Immunogenic Class of Advanced Prostate Cancer

2018 384 citations Yi-Mi Wu, Marcin Cieślik et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisha Wang China	8	304	287	174	139	130	15	557
Linda Mahjoubi France	9	369 1.2×	208 0.7×	213 1.2×	132 0.9×	113 0.9×	12	558
Adriaan Vanderstichele Belgium	14	300 1.0×	122 0.4×	288 1.7×	327 2.4×	93 0.7×	29	752
Rico D. Bense Netherlands	8	298 1.0×	166 0.6×	177 1.0×	141 1.0×	153 1.2×	9	508
Sishun Gan China	17	144 0.5×	167 0.6×	370 2.1×	212 1.5×	75 0.6×	29	550
Jean Marie Bruey United States	6	177 0.6×	162 0.6×	214 1.2×	91 0.7×	154 1.2×	8	507
Jieti Wang China	15	344 1.1×	147 0.5×	165 0.9×	99 0.7×	318 2.4×	24	582
Yuto Yasuda Japan	10	221 0.7×	172 0.6×	121 0.7×	62 0.4×	59 0.5×	35	346
Mika Hoshino Japan	12	308 1.0×	173 0.6×	169 1.0×	158 1.1×	183 1.4×	36	538
Mirella Giordano Italy	13	196 0.6×	89 0.3×	143 0.8×	128 0.9×	64 0.5×	43	462
Liam F. Spurr United States	11	286 0.9×	161 0.6×	238 1.4×	158 1.1×	60 0.5×	28	515

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-authorship network of co-authors of Lisha Wang

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

All Works

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15 of 15 papers shown

Wang, Lisha, et al.. (2025). Effect of by-products-based diet and intramuscular fat content on volatile compounds from pork. Meat Science. 222. 109758–109758. 1 indexed citations

Cho, Hanbyul, Jean C. Tien, Rahul Mannan, et al.. (2025). Cellular cartography reveals mouse prostate organization and determinants of castration resistance. Proceedings of the National Academy of Sciences. 122(35). e2427116122–e2427116122. 1 indexed citations

Wang, Jisheng, et al.. (2024). Apoptosis dysfunction: unravelling the interplay between ZBP1 activation and viral invasion in innate immune responses. Cell Communication and Signaling. 22(1). 149–149. 12 indexed citations

Wen, Shuqiong, Xingxing Su, Junyi Guo, et al.. (2024). Bcl6 controls the stability and suppressive function of regulatory T cells in head and neck squamous cell carcinoma. Genes & Diseases. 12(4). 101505–101505.

Ran, Ling, Zhengliang Yue, Qiao Liu, et al.. (2024). The transcription regulator ID3 maintains tumor-specific memory CD8+ T cells in draining lymph nodes during tumorigenesis. Cell Reports. 43(9). 114690–114690. 5 indexed citations

Liu, Chaonan, Ke Yang, Jun Chen, et al.. (2023). Aged hematopoietic stem cells entrap regulatory T cells to create a prosurvival microenvironment. Cellular and Molecular Immunology. 20(10). 1216–1231. 17 indexed citations

Liu, Qiao, Lisha Wang, Huayu Lin, et al.. (2022). Tumor-Specific CD4+ T Cells Restrain Established Metastatic Melanoma by Developing Into Cytotoxic CD4– T Cells. Frontiers in Immunology. 13. 875718–875718. 14 indexed citations

Lin, Huayu, Haoqiang Wang, Qiao Liu, et al.. (2022). A novel strategy to investigate the factors regulating the Treg to Tfr transition during acute viral infection. Journal of Immunological Methods. 505. 113266–113266. 1 indexed citations

Wang, Li, et al.. (2021). Expression and change of miR-199b-5p, s HLA-G in thyroid carcinoma. Experimental and Molecular Pathology. 120. 104643–104643. 7 indexed citations

10.

Gao, Leiqiong, Jing Zhou, Sen Yang, et al.. (2021). The dichotomous and incomplete adaptive immunity in COVID-19 patients with different disease severity. Signal Transduction and Targeted Therapy. 6(1). 113–113. 26 indexed citations

11.

Li, Yiding, Zhiming Wang, Huayu Lin, et al.. (2020). Bcl6 Preserves the Suppressive Function of Regulatory T Cells During Tumorigenesis. Frontiers in Immunology. 11. 806–806. 22 indexed citations

12.

Wu, Yi-Mi, Marcin Cieślik, Robert J. Lonigro, et al.. (2018). Inactivation of CDK12 Delineates a Distinct Immunogenic Class of Advanced Prostate Cancer. Cell. 173(7). 1770–1782.e14. 384 indexed citations breakdown →

13.

López-Beltrán, Antonio, Francesco Massari, Роберто Пили, et al.. (2017). Targeting the Programmed Cell Death-1 Pathway in Genitourinary Tumors: Current Progress and Future Perspectives. Current Drug Metabolism. 18(8). 700–711. 24 indexed citations

14.

Wang, Lisha, Fei Ren, Qifeng Wang, et al.. (2016). Significance of Programmed Death Ligand 1 (PD-L1) Immunohistochemical Expression in Colorectal Cancer. Molecular Diagnosis & Therapy. 20(2). 175–181. 36 indexed citations

15.

Zhu, Beiwei, et al.. (2008). Studies on the immunomodulating activity of two polysaccharides from the viscera of abalone, Haliotis Discus Hannai Ino. Journal of Biotechnology. 136. S584–S584. 7 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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