Ming-Ming Ji

12 total papers · 703 total citations
12 papers, 498 citations indexed

About

Ming-Ming Ji is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Ming-Ming Ji has authored 12 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Epidemiology. Recurrent topics in Ming-Ming Ji's work include Mosquito-borne diseases and control (4 papers), Silk-based biomaterials and applications (3 papers) and Autophagy in Disease and Therapy (3 papers). Ming-Ming Ji is often cited by papers focused on Mosquito-borne diseases and control (4 papers), Silk-based biomaterials and applications (3 papers) and Autophagy in Disease and Therapy (3 papers). Ming-Ming Ji collaborates with scholars based in China and Japan. Ming-Ming Ji's co-authors include Yan Li, Yong Chen, Yuhai Bi, Hong Zhang, Yi Shi, Hongyu Zhao, Pei‐Hui Wang, Guangyan Miao, Long Sun and Hongyu Deng and has published in prestigious journals such as The Journal of Cell Biology, Biochemical and Biophysical Research Communications and Developmental Cell.

In The Last Decade

Ming-Ming Ji

11 papers receiving 496 citations

Hit Papers

ORF3a of the COVID-19 vir... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming-Ming Ji 228 171 169 111 88 12 498
Timothy K. Soh 256 1.1× 147 0.9× 158 0.9× 74 0.7× 36 0.4× 14 521
Elliott M. Bernard 129 0.6× 185 1.1× 186 1.1× 108 1.0× 90 1.0× 16 518
Shauna Marvin 172 0.8× 182 1.1× 168 1.0× 117 1.1× 54 0.6× 13 593
Junyan Shi 77 0.3× 214 1.3× 304 1.8× 123 1.1× 38 0.4× 11 586
Inna Ricardo-Lax 234 1.0× 94 0.5× 261 1.5× 91 0.8× 112 1.3× 12 531
Stanford Schor 165 0.7× 123 0.7× 214 1.3× 94 0.8× 52 0.6× 11 523
Minghai Zhou 73 0.3× 136 0.8× 320 1.9× 117 1.1× 96 1.1× 12 611
Pauline Verlhac 61 0.3× 322 1.9× 131 0.8× 80 0.7× 81 0.9× 19 459
Uta Gölnitz 209 0.9× 123 0.7× 113 0.7× 29 0.3× 91 1.0× 9 533
Oded Danziger 249 1.1× 59 0.3× 205 1.2× 118 1.1× 23 0.3× 9 457

Countries citing papers authored by Ming-Ming Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Ming Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Ming Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Ming Ji. A scholar is included among the top collaborators of Ming-Ming Ji 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 Ming-Ming Ji. Ming-Ming Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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

Rankless by CCL
2026