Shuo Ma

153 papers receiving 3.4k citations

Shuo Ma's Hit Papers

Clinical application and detection techniques of liquid biopsy in gastric cancer 2023 · 132 citations
1320+2+4Years since publication100200300

Peers

Shuo Ma
Comparison fields: 5 of 133
  • Genetics 900
  • Pathology and Forensic Medicine 810
  • Immunology and Allergy 242
  • Immunology 673
  • Cancer Research 435
Replace Sirpa Leppä with:
Sirpa Leppä Finland
Yoshinobu Matsuo Japan
Robert C. Rickert United States
Isidro Sánchez-Garcı́a Spain
John D. Hooper Australia
Christine Mirtsos Canada
Rossella Paolini Italy
Anna Bigas Spain
Frank Grünebach Germany
Frédérique Ponchel United Kingdom
Shuo Ma relative to Sirpa Leppä Finland Sirpa Leppä's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shuo Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Current Progress in CAR-T Cell Therapy for Solid Tumors
Hit paper breakdown →
2019382
2 2017213
3 2004205
4
Clinical application and detection techniques of liquid biopsy in gastric cancer
Hit paper breakdown →
2023132
5 2004127
6 2019121
7 2020115
8 2002105
9 200290
10 199986
11 202177
12 201673
13 201171
14 202070
15 200262
16 201549
17 201447
18 201341
19 201439
20 202039

About Shuo Ma

Shuo Ma is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Oncology and Immunology, having authored 165 papers that have together received 3.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (84 papers), Lymphoma Diagnosis and Treatment (48 papers), Viral-associated cancers and disorders (14 papers), Advanced Breast Cancer Therapies (12 papers), Circular RNAs in diseases (10 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Genetics (900 citations), Pathology and Forensic Medicine (810 citations), Immunology and Allergy (242 citations), Immunology (673 citations) and Cancer Research (435 citations). Shuo Ma has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Francis W. Luscinskas, Sunil K. Shaw, Rex L. Chisholm, Charles A. Parkos, Asma Nusrat, Xinchun Li, Zhenlong Ye, Zhong Li, Xinyue Wang and Changzheng Zhang. Their work appears in journals such as Blood, Journal of Clinical Oncology, Current Hematologic Malignancy Reports, Blood Advances and British Journal of Haematology.

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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