Mei Ji

1.6k total citations
53 papers, 1.2k citations indexed

About

Mei Ji is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Mei Ji has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Immunology and 11 papers in Oncology. Recurrent topics in Mei Ji's work include RNA modifications and cancer (10 papers), Cancer-related gene regulation (8 papers) and Immune Cell Function and Interaction (7 papers). Mei Ji is often cited by papers focused on RNA modifications and cancer (10 papers), Cancer-related gene regulation (8 papers) and Immune Cell Function and Interaction (7 papers). Mei Ji collaborates with scholars based in China, United States and Taiwan. Mei Ji's co-authors include Jingting Jiang, Jun Wu, Changping Wu, Liangrong Shi, Weiqing Zhao, Xin Yang, Hong‐Xiang Lou, Jiemin Zhao, Bin Xu and Changping Wu and has published in prestigious journals such as The Journal of Immunology, Oncogene and Frontiers in Immunology.

In The Last Decade

Mei Ji

51 papers receiving 1.2k citations

Peers

Mei Ji
Comparison fields: 5 of 96
  • Molecular Biology 515
  • Oncology 407
  • Immunology 387
  • Cancer Research 241
  • Pulmonary and Respiratory Medicine 141
Replace Xiaoyue Jiang with:
Xiaoyue Jiang China
Bonnie E. Gould Rothberg United States
Yong Qin China
Martin Schneider Germany
Shun‐Ichiro Kageyama Japan
Divya Chaudhary United States
Sai-Wen Tang United States
Mengjun Wang United States
Stéphanie McArdle United Kingdom
Liya Ding United States
Xiaoyue Jiang China View profile →
Citations per field, relative to Mei Ji
Mei Ji · 1×
Citations per year, relative to Mei Ji
Mei Ji · 1×

Countries citing papers authored by Mei Ji

Since Specialization
Citations

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

Fields of papers citing papers by Mei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Ji. A scholar is included among the top collaborators of Mei 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 Mei Ji. Mei Ji 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
# Work Indexed citations
1 10
2 10
3 0
4 13
5 15
6 62
7 60
8
Disease survey and pathogen identification on olive in Yongren County, Yunnan Province.
1
9
Research advance in biological activities of methyl jasmonate.
1
10 75
11 19
12 87
13 27
14
Effects of Pachypeltis sp.against Mikania micrantha
3
15
GC-MS analysis of essential oils from leaves of three Asteraceae invasive plants.
1
16 12
17 26
18 127
19
DETERMINATION OF NARINGENIN-7-O-GLUCOSIDE AND ERIODICTYOL-7-O-GLUCOSIDE IN DRACOCEPHALUM RUPESTRA AND ITS DIFFERENT PARTS BY HPLC
3
20
cDNA Cloning and Structural Analysis of Rice ADP-Glucose Pyrophosphorylase Gene
0

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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