Cong Ma

4.9k total citations · 1 hit paper
142 papers, 3.2k citations indexed

About

Cong Ma is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Cong Ma has authored 142 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 40 papers in Cell Biology and 27 papers in Surgery. Recurrent topics in Cong Ma's work include Cellular transport and secretion (37 papers), Lipid Membrane Structure and Behavior (21 papers) and Hepatocellular Carcinoma Treatment and Prognosis (15 papers). Cong Ma is often cited by papers focused on Cellular transport and secretion (37 papers), Lipid Membrane Structure and Behavior (21 papers) and Hepatocellular Carcinoma Treatment and Prognosis (15 papers). Cong Ma collaborates with scholars based in China, United States and Germany. Cong Ma's co-authors include Josep Rizo, Yibin Xu, Shen Wang, Yu‐Dong Xiao, Zishu Zhang, Wei Li, Lijing Su, Alpay B. Seven, Shunke Zhou and Ramchandra Paudel and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Cong Ma

132 papers receiving 3.2k citations

Hit Papers

MRI contrast agents: Classification and application (Review) 2016 2026 2019 2022 2016 100 200 300
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.

  1. MRI contrast agents: Classification and application (Review)
    2016 365 citations Yu‐Dong Xiao, Cong Ma et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Ma China 28 1.7k 1.4k 562 316 279 142 3.2k
Sreenivasan Ponnambalam United Kingdom 42 2.6k 1.5× 1.0k 0.7× 316 0.6× 134 0.4× 260 0.9× 126 4.4k
Lei Lü Singapore 34 2.1k 1.2× 1.3k 0.9× 178 0.3× 175 0.6× 218 0.8× 105 3.9k
Rick F. Thorne Australia 42 3.5k 2.1× 973 0.7× 562 1.0× 148 0.5× 579 2.1× 146 5.7k
William R. Skach United States 42 3.9k 2.3× 1.0k 0.7× 243 0.4× 145 0.5× 359 1.3× 87 5.3k
Lisette Leyton Chile 38 2.0k 1.2× 1.2k 0.8× 239 0.4× 91 0.3× 155 0.6× 96 4.0k
Hideyuki Mukai Japan 39 3.7k 2.2× 1.4k 1.0× 542 1.0× 306 1.0× 146 0.5× 117 5.0k
Evelyn Fein Germany 9 1.7k 1.0× 302 0.2× 688 1.2× 339 1.1× 301 1.1× 10 3.6k
Olga Goldberger United States 23 4.0k 2.4× 1.1k 0.8× 536 1.0× 143 0.5× 359 1.3× 30 5.2k
Malcolm R. Wood United States 34 2.0k 1.2× 543 0.4× 500 0.9× 262 0.8× 697 2.5× 60 3.9k
Nicholas Joza France 24 3.7k 2.1× 847 0.6× 404 0.7× 106 0.3× 915 3.3× 25 6.0k

Countries citing papers authored by Cong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Cong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Ma. A scholar is included among the top collaborators of Cong 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 Cong Ma. Cong 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.
Liu, Haowen, Lei Li, Jiafan Wang, et al.. (2025). Mechanisms that regulate the C1-C2B mutual inhibition control functional switch of UNC-13. eLife. 14. 1 indexed citations
2.
3.
Zhang, Haikun, Shen Wang, Qiubai Li, et al.. (2025). Munc13-4 mediates tumor immune evasion by regulating the sorting and secretion of PD-L1 via exosomes. Nature Communications. 16(1). 9080–9080.
4.
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Li, Hao, Zhen He, Sheng Xie, et al.. (2024). Phosphorylation of Doc2 by EphB2 modulates Munc13-mediated SNARE complex assembly and neurotransmitter release. Science Advances. 10(20). eadi7024–eadi7024. 1 indexed citations
6.
Dong, Yue, Cong Ma, Cuiping Jiang, et al.. (2024). Coronary inflammation based on pericoronary adipose tissue attenuation in type 2 diabetic mellitus: effect of diabetes management. Cardiovascular Diabetology. 23(1). 108–108. 9 indexed citations
7.
Liu, Dexiang, et al.. (2023). Identification of the SNARE complex that mediates the fusion of multivesicular bodies with the plasma membrane in exosome secretion. Journal of Extracellular Vesicles. 12(9). e12356–e12356. 67 indexed citations
8.
Zhu, Le, et al.. (2022). Munc18 − Munc13‐dependent pathway of SNARE complex assembly is resistant to NSF and α‐SNAP. FEBS Journal. 289(20). 6367–6384. 4 indexed citations
9.
Wang, Shen, et al.. (2022). Rabphilin 3A binds the N-peptide of SNAP-25 to promote SNARE complex assembly in exocytosis. eLife. 11. 6 indexed citations
10.
Ma, Cong, et al.. (2021). Neoadjuvant intra-arterial versus intravenous chemotherapy in colorectal cancer. Medicine. 100(51). e28312–e28312. 9 indexed citations
11.
Peng, Di, Chen Ruan, Shanshan Fu, et al.. (2021). Atg9-centered multi-omics integration reveals new autophagy regulators inSaccharomyces cerevisiae. Autophagy. 17(12). 4453–4476. 7 indexed citations
12.
Wang, Xianping, Jihong Gong, Le Zhu, et al.. (2020). Munc13 activates the Munc18‐1/syntaxin‐1 complex and enables Munc18‐1 to prime SNARE assembly. The EMBO Journal. 39(16). e103631–e103631. 34 indexed citations
13.
Ma, Cong, Xiaoyan Wang, & Rui Zhao. (2019). Associations of lymphocyte percentage and red blood cell distribution width with risk of lung cancer. Journal of International Medical Research. 47(7). 3099–3108. 8 indexed citations
14.
Xiao, Yu‐Dong, et al.. (2018). Cavographic vs. cross-sectional measurement of the inferior vena cava diameter before filter placement: are we routinely oversizing?. European Radiology. 29(6). 3281–3286. 5 indexed citations
15.
16.
Wang, Shen, Ucheor B. Choi, Jihong Gong, et al.. (2017). Conformational change of syntaxin linker region induced by Munc13s initiates SNARE complex formation in synaptic exocytosis. The EMBO Journal. 36(6). 816–829. 65 indexed citations
17.
Ma, Cong, Xiaoling Deng, Changwen Ke, et al.. (2013). Epidemiology and Etiology Characteristics of Foodborne Outbreaks Caused by Vibrio parahaemolyticus During 2008–2010 in Guangdong Province, China. Foodborne Pathogens and Disease. 11(1). 21–29. 39 indexed citations
18.
Ma, Cong, Lijing Su, Alpay B. Seven, Yibin Xu, & Josep Rizo. (2012). Reconstitution of the Vital Functions of Munc18 and Munc13 in Neurotransmitter Release. Science. 339(6118). 421–425. 302 indexed citations
19.
Li, Wei, Cong Ma, Rong Guan, et al.. (2011). The Crystal Structure of a Munc13 C-terminal Module Exhibits a Remarkable Similarity to Vesicle Tethering Factors. Structure. 19(10). 1443–1455. 66 indexed citations
20.
Ma, Cong, et al.. (2005). Acterium spectrum of Southeast China Sea area and wound infection ability of dominant bacteria. Academic Journal of Second Military Medical University. 1 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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