Yiming Ma

5.1k citations
165 papers · 3.1k · h-index 31

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Gut microbiota and health
    • RNA modifications and cancer
    • Extracellular vesicles in disease
    • Circular RNAs in diseases

Papers in

Yiming Ma

153 papers receiving 3.1k citations

Peers

Yiming Ma
Comparison fields: 5 of 147
  • Cancer Research 544
  • Molecular Biology 1.4k
  • Oncology 412
  • Pulmonary and Respiratory Medicine 480
  • Immunology 249
Replace Zhen‐Guo Ma with:
Zhen‐Guo Ma China
Jing Su China
Montserrat Rojo de la Vega United States
Fang Xia China
Lu Yu China
Mohammed Al‐Qahtani Saudi Arabia
Yuan Li China
Yu‐Jia Chang Taiwan
Yi Sun China
Zheng Wang China
Yiming Ma relative to Zhen‐Guo Ma China Zhen‐Guo Ma's profile →
Citations per field
00.5×2×2.9×
Zhen‐Guo Ma · 1×
Citations per year

Countries citing papers authored by Yiming Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yiming 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 Yiming Ma Line = papers co-authored together Yiming 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 2020158
2 2019155
3
How to differentiate pseudoprogression from true progression in cancer patients treated with immunotherapy.
2019121
4 2018120
5 202193
6 201289
7 201889
8 201384
9 201976
10 201263
11 201562
12 201761
13 201157
14 201656
15 202154
16 201450
17 202150
18 201047
19 201747
20 202345

About Yiming Ma

Yiming Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 165 papers that have together received 3.1k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers), MicroRNA in disease regulation (12 papers), Ferroptosis and cancer prognosis (9 papers), Extracellular vesicles in disease (9 papers), Cancer-related molecular mechanisms research (8 papers), Epigenetics and DNA Methylation (7 papers), Circular RNAs in diseases (6 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (5 papers). The work is most often cited by research in Cancer Research (544 citations), Molecular Biology (1.4k citations), Oncology (412 citations), Pulmonary and Respiratory Medicine (480 citations) and Immunology (249 citations). Yiming Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongying Wang, Xinhua Zhao, Sharmila Shankar, Rakesh K. Srivastava, Xiangming Liu, Wei Yu, Yan Chen, Zihang Zeng, Lijuan Luo and Weiwei Li. Their work appears in journals such as Frontiers in Pharmacology, Journal of Cellular and Molecular Medicine, Agronomy, Frontiers in Oncology and Free Radical Biology and Medicine.

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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