Meng Ji

93 total papers · 422 total citations
33 papers, 215 citations indexed

About

Meng Ji is a scholar working on Computational Theory and Mathematics, Molecular Biology and Geometry and Topology. According to data from OpenAlex, Meng Ji has authored 33 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 6 papers in Molecular Biology and 5 papers in Geometry and Topology. Recurrent topics in Meng Ji's work include Advanced Graph Theory Research (7 papers), Graph Labeling and Dimension Problems (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Meng Ji is often cited by papers focused on Advanced Graph Theory Research (7 papers), Graph Labeling and Dimension Problems (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Meng Ji collaborates with scholars based in China, France and Japan. Meng Ji's co-authors include Xin Zeng, Xueliang Li, Kaiming Wu, Lin Lin, Yimin Chu, Yong Lin, Chenghao Shao, Danlei Chen, Liang Tang and Lingao Ju and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Meng Ji

29 papers receiving 213 citations

Author Peers

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

Author Last Decade Papers Cites
Meng Ji 89 50 40 38 37 33 215
Toshihiko Masuda 52 0.6× 12 0.2× 33 0.8× 93 2.4× 24 0.6× 29 274
Hiromichi Nakayama 54 0.6× 30 0.6× 94 2.4× 30 0.8× 11 0.3× 25 179
Lan Zheng 101 1.1× 28 0.6× 20 0.5× 6 0.2× 30 0.8× 35 262
Linsen Xie 157 1.8× 138 2.8× 19 0.5× 13 0.3× 48 1.3× 29 317
Jiankui Li 50 0.6× 9 0.2× 6 0.1× 66 1.7× 54 1.5× 30 257
Hyun Soo Kim 126 1.4× 33 0.7× 32 0.8× 5 0.1× 50 1.4× 22 307
Shalini Singh 161 1.8× 21 0.4× 22 0.6× 11 0.3× 54 1.5× 35 328
Hongxiang Li 205 2.3× 25 0.5× 9 0.2× 5 0.1× 13 0.4× 29 318
Anatoly Yambartsev 109 1.2× 31 0.6× 22 0.6× 10 0.3× 40 1.1× 31 219
Kentaro Mikami 67 0.8× 20 0.4× 20 0.5× 41 1.1× 93 2.5× 23 280

Countries citing papers authored by Meng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Meng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Ji

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

All Works

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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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