Lichun Ma

3.4k total citations · 4 hit papers
40 papers, 1.8k citations indexed

About

Lichun Ma is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lichun Ma has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lichun Ma's work include Single-cell and spatial transcriptomics (10 papers), Cancer Genomics and Diagnostics (9 papers) and Lung Cancer Treatments and Mutations (9 papers). Lichun Ma is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Cancer Genomics and Diagnostics (9 papers) and Lung Cancer Treatments and Mutations (9 papers). Lichun Ma collaborates with scholars based in United States, China and Hong Kong. Lichun Ma's co-authors include Xin Wei Wang, Tim F. Greten, Jonathan M. Hernandez, Michael C. Kelly, Sean P. Martin, Stephen M. Hewitt, David E. Kleiner, Bradford J. Wood, Bao Tran and Maria O. Hernandez and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lichun Ma

39 papers receiving 1.7k citations

Hit Papers

Tumor Cell Biodiversity Drives Microenvironmental Reprogr... 2019 2026 2021 2023 2019 2021 2023 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lichun Ma United States 16 787 666 561 460 378 40 1.8k
Davide Ciardiello Italy 22 803 1.0× 1.4k 2.1× 496 0.9× 301 0.7× 496 1.3× 86 2.2k
Giulia Martini Italy 24 793 1.0× 1.4k 2.0× 494 0.9× 243 0.5× 565 1.5× 83 2.1k
Stephen Leong United States 23 842 1.1× 1.1k 1.7× 606 1.1× 178 0.4× 471 1.2× 73 2.3k
Le‐Qun Li China 20 685 0.9× 542 0.8× 598 1.1× 246 0.5× 197 0.5× 63 1.5k
Stefano Caruso France 28 969 1.2× 471 0.7× 687 1.2× 237 0.5× 330 0.9× 55 1.9k
Peter Ansell United States 22 965 1.2× 569 0.9× 675 1.2× 90 0.2× 227 0.6× 89 1.9k
Michael Lahn United States 23 1.3k 1.7× 1.1k 1.7× 400 0.7× 369 0.8× 264 0.7× 42 2.2k
Kaoru Mogushi Japan 29 1.6k 2.1× 756 1.1× 799 1.4× 203 0.4× 491 1.3× 93 2.7k
Ming-Hui Dong China 11 1.1k 1.4× 1.4k 2.1× 528 0.9× 1.4k 3.0× 376 1.0× 16 2.6k
Tingbo Liang China 24 915 1.2× 696 1.0× 454 0.8× 251 0.5× 402 1.1× 86 2.2k

Countries citing papers authored by Lichun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lichun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lichun Ma

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

All Works

20 of 20 papers shown
1.
Ma, Lichun, et al.. (2024). Higher education investment, human capital, and high-quality economic development. Finance research letters. 71. 106419–106419. 7 indexed citations
2.
Tian, Cheng, Wentao Yang, Xiaoli Liu, et al.. (2024). HKDC1 promotes liver cancer stemness under hypoxia through stabilizing β-catenin. Hepatology. 81(6). 1685–1699. 8 indexed citations
3.
Robinson, Welles, Joshua K. Stone, Fiorella Schischlik, et al.. (2024). Identification of intracellular bacteria from multiple single-cell RNA-seq platforms using CSI-Microbes. Science Advances. 10(27). eadj7402–eadj7402. 10 indexed citations
4.
Qin, Shulin, Lichun Ma, Runfeng Li, et al.. (2023). Multifunctional Ca2+ nanomodulators regulate type I interferon pathway to remodel tumor microenvironment for cancer immunotherapy. Chemical Engineering Journal. 477. 147118–147118. 5 indexed citations
5.
Kedei, Noémi, Subreen A. Khatib, Marshonna Forgues, et al.. (2023). Spatial proximity of tumor-immune interactions predicts patient outcome in hepatocellular carcinoma. Hepatology. 79(4). 768–779. 11 indexed citations
6.
Green, Benjamin L., Yuta Myojin, Chi Ma, et al.. (2023). Immunosuppressive CD29 + Treg accumulation in the liver in mice on checkpoint inhibitor therapy. Gut. 73(3). 509–520. 7 indexed citations
7.
Wen, Yankai, Lichun Ma, & Cynthia Ju. (2023). Recent insights into the pathogenesis and therapeutic targets of chronic liver diseases. SHILAP Revista de lepidopterología. 1(2). e100020–e100020. 9 indexed citations
8.
Greten, Tim F., Robert F. Schwabe, Nabeel Bardeesy, et al.. (2023). Immunology and immunotherapy of cholangiocarcinoma. Nature Reviews Gastroenterology & Hepatology. 20(6). 349–365. 102 indexed citations breakdown →
9.
Khatib, Subreen A., Lichun Ma, Hien Dang, et al.. (2022). Single‐cell biology uncovers apoptotic cell death and its spatial organization as a potential modifier of tumor diversity in HCC. Hepatology. 76(3). 599–611. 14 indexed citations
10.
Monge, Cecilia, Erica C. Pehrsson, Changqing Xie, et al.. (2022). A Phase II Study of Pembrolizumab in Combination with Capecitabine and Oxaliplatin with Molecular Profiling in Patients with Advanced Biliary Tract Carcinoma. The Oncologist. 27(3). e273–e285. 32 indexed citations
11.
Chang, Ching-Wen, Wei Zhuang, Stewart R. Durell, et al.. (2022). A compendium of co-regulated mitoribosomal proteins in pan-cancer uncovers collateral defective events in tumor malignancy. iScience. 25(10). 105244–105244. 4 indexed citations
12.
Ma, Lichun & Xin Wei Wang. (2022). Dissecting liver tumor heterogeneity to improve health equity. Trends in cancer. 8(4). 286–290. 3 indexed citations
13.
Hung, Man‐Hsin, Joo Sang Lee, Chi Ma, et al.. (2021). Tumor methionine metabolism drives T-cell exhaustion in hepatocellular carcinoma. Nature Communications. 12(1). 1455–1455. 163 indexed citations
14.
Liu, Yuchen, Shu Zhuo, Yaxing Zhou, et al.. (2021). Yap-Sox9 signaling determines hepatocyte plasticity and lineage-specific hepatocarcinogenesis. Journal of Hepatology. 76(3). 652–664. 66 indexed citations
16.
Martin, Sean P., Valerie Fako, Hien Dang, et al.. (2020). PKM2 inhibition may reverse therapeutic resistance to transarterial chemoembolization in hepatocellular carcinoma. Journal of Experimental & Clinical Cancer Research. 39(1). 99–99. 75 indexed citations
17.
Heinrich, S., Amanda J. Craig, Lichun Ma, et al.. (2020). Understanding tumour cell heterogeneity and its implication for immunotherapy in liver cancer using single-cell analysis. Journal of Hepatology. 74(3). 700–715. 64 indexed citations
18.
Ma, Lichun, Maria O. Hernandez, Yongmei Zhao, et al.. (2019). Tumor Cell Biodiversity Drives Microenvironmental Reprogramming in Liver Cancer. Cancer Cell. 36(4). 418–430.e6. 513 indexed citations breakdown →
19.
Zou, Bin, Victor Lee, Lijiang Chen, et al.. (2017). Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations. Scientific Reports. 7(1). 6595–6595. 31 indexed citations
20.
Wang, Debby D., Victor Lee, Guangyu Zhu, et al.. (2016). Selectivity profile of afatinib for EGFR-mutated non-small-cell lung cancer. Molecular BioSystems. 12(5). 1552–1563. 9 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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