Ji Ma

3.6k total citations · 1 hit paper
76 papers, 2.0k citations indexed

About

Ji Ma is a scholar working on Surgery, Biomedical Engineering and Nephrology. According to data from OpenAlex, Ji Ma has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 13 papers in Biomedical Engineering and 12 papers in Nephrology. Recurrent topics in Ji Ma's work include Renal Diseases and Glomerulopathies (11 papers), Surgical Simulation and Training (10 papers) and Natural Language Processing Techniques (9 papers). Ji Ma is often cited by papers focused on Renal Diseases and Glomerulopathies (11 papers), Surgical Simulation and Training (10 papers) and Natural Language Processing Techniques (9 papers). Ji Ma collaborates with scholars based in United States, China and Belgium. Ji Ma's co-authors include Agnes B. Fogo, Peter Berkelman, Jacob Rosén, Iekuni Ichikawa, Taiji Matsusaka, Haichun Yang, Yiqin Zuo, Lijun Ma, Jianyong Zhong and Daniel Glozman and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Cleaner Production.

In The Last Decade

Ji Ma

76 papers receiving 2.0k citations

Hit Papers

Sentence-T5: Scalable Sentence Encoders from Pre-trained ... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Ma United States 24 517 430 375 283 228 76 2.0k
Yuji Ishida Japan 28 89 0.2× 268 0.6× 169 0.5× 645 2.3× 65 0.3× 137 2.6k
Keisuke Izumi Japan 34 303 0.6× 457 1.1× 32 0.1× 1.3k 4.6× 154 0.7× 228 4.4k
Bill Chiu United States 19 89 0.2× 436 1.0× 191 0.5× 263 0.9× 258 1.1× 77 1.6k
Liwei Huang China 26 161 0.3× 152 0.4× 43 0.1× 597 2.1× 116 0.5× 85 1.7k
Chung‐Chih Lin Taiwan 25 243 0.5× 121 0.3× 77 0.2× 602 2.1× 110 0.5× 97 2.1k
Bin Ma China 23 93 0.2× 280 0.7× 52 0.1× 495 1.7× 172 0.8× 113 1.8k
Wolfgang Ertel Germany 22 61 0.1× 276 0.6× 33 0.1× 264 0.9× 262 1.1× 75 1.9k
Xiaobo Zhou United States 34 277 0.5× 217 0.5× 17 0.0× 1.5k 5.3× 155 0.7× 158 3.4k
Tae-Hwan Kim South Korea 30 176 0.3× 1.5k 3.4× 23 0.1× 302 1.1× 264 1.2× 214 3.3k
Bing Ma China 20 122 0.2× 133 0.3× 63 0.2× 315 1.1× 140 0.6× 85 1.9k

Countries citing papers authored by Ji Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ji Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Ma. A scholar is included among the top collaborators of Ji 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 Ji Ma. Ji 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.
Jin, Xin, Janne Kaes, Jan Van Slambrouck, et al.. (2024). Donor-Specific Blood Transfusion is Feasible and Safe in Mice: A Proof-of-Concept Study. The Journal of Heart and Lung Transplantation. 43(4). S326–S326. 1 indexed citations
2.
Ma, Ji, et al.. (2024). Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction. 1143–1151. 1 indexed citations
3.
Jiao, Xiaoqiang, et al.. (2023). The impact of labor migration on chemical fertilizer use of wheat smallholders in China- mediation analysis of socialized service. Journal of Cleaner Production. 394. 136366–136366. 35 indexed citations
4.
Lemmens, Viktor, Sarah Debaveye, Winston Chiu, et al.. (2023). YF17D-vectored Ebola vaccine candidate protects mice against lethal surrogate Ebola and yellow fever virus challenge. npj Vaccines. 8(1). 99–99. 5 indexed citations
5.
Ma, Ji, et al.. (2023). Polar Constrained Image Stitching Algorithm for Unmanned Aerial Vehicle Based on Crossing Area. Journal of Engineering Science and Technology Review. 12(2). 131–137. 1 indexed citations
6.
Ni, Jianmo, Gustavo Hernández Ábrego, Noah Constant, et al.. (2022). Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. Findings of the Association for Computational Linguistics: ACL 2022. 1864–1874. 138 indexed citations breakdown →
7.
Ma, Ji, Sander Jansen, Bert Malengier‐Devlies, et al.. (2022). Live-attenuated YF17D-vectored COVID-19 vaccine protects from lethal yellow fever virus infection in mouse and hamster models. EBioMedicine. 83. 104240–104240. 5 indexed citations
8.
Zhang, Qi, Lin Cheng, Jiwan Ge, et al.. (2022). Preclinical characterization of amubarvimab and romlusevimab, a pair of non-competing neutralizing monoclonal antibody cocktail, against SARS-CoV-2. Frontiers in Immunology. 13. 980435–980435. 12 indexed citations
9.
Ma, Ji, Robbert Boudewijns, Lorena Sánchez-Felipe, et al.. (2021). Comparing immunogenicity and protective efficacy of the yellow fever 17D vaccine in mice. Emerging Microbes & Infections. 10(1). 2279–2290. 10 indexed citations
10.
Kum, Dieudonné Buh, Niraj Mishra, Robbert Boudewijns, et al.. (2018). A yellow fever–Zika chimeric virus vaccine candidate protects against Zika infection and congenital malformations in mice. npj Vaccines. 3(1). 56–56. 34 indexed citations
12.
Yu, Guohua, Huiyan Liu, Wei Zhou, et al.. (2015). In vivo protein targets for increased quinoprotein adduct formation in aged substantia nigra. Experimental Neurology. 271. 13–24. 19 indexed citations
13.
Zhong, Jianyong, Haichun Yang, Valentina Kon, et al.. (2014). Vitronectin-binding PAI-1 protects against the development of cardiac fibrosis through interaction with fibroblasts. Laboratory Investigation. 94(6). 633–644. 22 indexed citations
14.
Ma, Ji, Jingbo Zhu, Tong Xiao, & Nan Yang. (2013). Easy-First POS Tagging and Dependency Parsing with Beam Search. Meeting of the Association for Computational Linguistics. 110–114. 9 indexed citations
15.
Brown, Nancy J., Jennifer Bradford, William Lea, et al.. (2007). Modulation of angiotensin II and norepinephrine-induced plasminogen activator inhibitor-1 expression by AT1a receptor deficiency. Kidney International. 72(1). 72–81. 11 indexed citations
16.
Zuo, Yiqin, Taiji Matsusaka, Jianyong Zhong, et al.. (2006). HIV-1 Genes vpr and nef Synergistically Damage Podocytes, Leading to Glomerulosclerosis. Journal of the American Society of Nephrology. 17(10). 2832–2843. 83 indexed citations
17.
Ma, Ji, et al.. (2006). Plasminogen activator inhibitor-1 deficiency protects against aldosterone-induced glomerular injury. Kidney International. 69(6). 1064–1072. 83 indexed citations
18.
Yang, Haichun, Lijun Ma, Ji Ma, & Agnes B. Fogo. (2006). Peroxisome proliferator-activated receptor-gamma agonist is protective in podocyte injury-associated sclerosis. Kidney International. 69(10). 1756–1764. 90 indexed citations
19.
Ichikawa, Iekuni, Ji Ma, Masaru Motojima, & Taiji Matsusaka. (2005). Podocyte damage damages podocytes: autonomous vicious cycle that drives local spread of glomerular sclerosis. Current Opinion in Nephrology & Hypertension. 14(3). 205–210. 65 indexed citations
20.
Ma, Ji, Taiji Matsusaka, Hiroshi Kawachi, et al.. (2004). Local Actions of Endogenous Angiotensin II in Injured Glomeruli. Journal of the American Society of Nephrology. 15(5). 1268–1276. 13 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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