Jin Ma

1.3k citations
87 papers · 809 · h-index 15

Impact in

Papers in

Jin Ma

82 papers receiving 796 citations

Peers

Jin Ma
Comparison fields: 5 of 93
  • Ophthalmology 230
  • Radiology, Nuclear Medicine and Imaging 173
  • Health Information Management 22
  • Endocrinology, Diabetes and Metabolism 56
  • Epidemiology 102
Replace Brian L. VanderBeek with:
Brian L. VanderBeek United States
Domenico Lepore Italy
Roxanne Crosby‐Nwaobi United Kingdom
S Katsuki Japan
Muhammad Bayu Sasongko Indonesia
Yongjie Qin China
H. Dunbar Hoskins United States
S. I. McFarlane United States
Jon H. Levine United States
Zofia Mariak Poland
Jin Ma relative to Brian L. VanderBeek United States Brian L. VanderBeek's profile →
Citations per field
00.5×1.5×
Brian L. VanderBeek · 1×
Citations per year

Countries citing papers authored by Jin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006126
2 202045
3 201344
4 201529
5 201428
6 201926
7 201925
8 201724
9 200823
10 201920
11 201816
12 201814
13 201014
14 201214
15 202214
16 201213
17 202013
18 202013
19 199313
20 201913

About Jin Ma

Jin Ma is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 87 papers that have together received 809 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (10 papers), Pituitary Gland Disorders and Treatments (8 papers), Ophthalmology and Visual Impairment Studies (6 papers), Retinal Imaging and Analysis (6 papers), Intraoperative Neuromonitoring and Anesthetic Effects (6 papers), Retinal and Macular Surgery (6 papers), Glaucoma and retinal disorders (5 papers) and Spaceflight effects on biology (4 papers). The work is most often cited by research in Ophthalmology (230 citations), Radiology, Nuclear Medicine and Imaging (173 citations), Health Information Management (22 citations), Endocrinology, Diabetes and Metabolism (56 citations) and Epidemiology (102 citations). Jin Ma has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Yong Zhong, Guangliang Shan, Yuyu Chou, Ke Yao, Xin Su, Lin Lü, Patrick S. Romano, Jack V. Tu, Helen Johansen and Carolyn De Coster. Their work appears in journals such as Graefe s Archive for Clinical and Experimental Ophthalmology, Investigative Ophthalmology & Visual Science, Retina, BMC Ophthalmology and Clinical and Experimental Ophthalmology.

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.

Explore authors with similar magnitude of impact