Fang Ji

666 citations
42 papers · 397 indexed · h-index 11
Topics
DNA Repair Mechanisms (4 papers)Mesenchymal stem cell research (4 papers)interferon and immune responses (2 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Fang Ji

41 papers receiving 390 citations

Peers

Fang Ji
Comparison fields: 5 of 80
  • Molecular Biology 253
  • Oncology 107
  • Genetics 51
  • Cancer Research 38
  • Immunology 35
Replace Bach-Cuc Nguyen with:
Bach-Cuc Nguyen United States
Deep Pandya United States
Hongyu Gu China
Anne West Finland
Shuhei Noguchi Japan
Maria Geffken Germany
Prupti Malde United Kingdom
Anne‐Louise Gannon Australia
Milad Rezvani United States
Chika Miyagi‐Shiohira Japan
Fang Ji relative to Bach-Cuc Nguyen United States Bach-Cuc Nguyen's profile →
Citations per field
00.5×
Bach-Cuc Nguyen · 1×
Citations per year

Countries citing papers authored by Fang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Fang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Ji. A scholar is included among the top collaborators of Fang 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 Fang Ji. Fang 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
#WorkIndexed citations
1 2
2 1
3 2
4 16
5 2
6 2
7 2
8 39
9 140
10 1
11 0
12
[Investigation on the Outbreak of Visceral Leishmaniasis in 2014 in Jiashi County of Xinjiang].
3
13
Effects of Momordica charantia extracton the immune function of BALB /c mice
1
14
Isolation,cultivation and identification of the canine bone marrow mesenchymal stem cells
1
15
Prognostic value of electrophysiology in peripheral facial paralysis
1
16 1
17
Evaluation of the INNO-LiPA HBV genotyping assay for determination of hepatitis B virus genotype
6
18 12
19
Determination of ferulic acid in Chuanxiong by HPLC
2
20
Characterization of polysaccharides from the roots of Sophora subprostrata
8

About Fang Ji

Fang Ji is a scholar working on Otorhinolaryngology, Genetics and Transplantation, having authored 42 papers that have together received 397 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Mesenchymal stem cell research (4 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Transplantation (11 citations), Oncology (107 citations) and Molecular Biology (253 citations). Fang Ji has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hongwei Liao, Songmin Ying, Thomas Helleday, Zhihua Chen, Huahao Shen, Chunquan Zheng, Xinwei Geng, Meichun Xing, Kathryn Tinckam and Qun Lu. Their work appears in journals such as Molecular Cell, PLoS ONE and The Journal of Physiology.

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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