Hong Ji

17.3k citations
223 papers · 12.7k indexed · 4 hit papers · h-index 48
Topics
Wnt/β-catenin signaling in development and cancer (23 papers)Viral Infections and Immunology Research (21 papers)Cancer-related gene regulation (19 papers)

In The Last Decade

Hong Ji

213 papers receiving 12.5k citations

Hit Papers

Exosomes: Extracellular organelles important in intercell...2009202620142020201020122015200950010001.5k2.0k

Peers

Hong Ji
Comparison fields: 5 of 158
  • Molecular Biology 8.8k
  • Cancer Research 4.1k
  • Oncology 1.6k
  • Immunology 1.4k
  • Surgery 980
Replace Andrew F. Hill with:
Andrew F. Hill Australia
David L. Huso United States
Edward K. L. Chan United States
Ke Zen China
Moshé Yaniv France
Tohru Tsujimura Japan
Luigi Frati Italy
Kay Huebner United States
Miriam R. Anver United States
Michael R. Green United States
Hong Ji relative to Andrew F. Hill Australia Andrew F. Hill's profile →
Citations per field
00.5×1.5×2.3×
Andrew F. Hill · 1×
Citations per year

Countries citing papers authored by Hong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Ji. A scholar is included among the top collaborators of Hong 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 Hong Ji. Hong 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 0
2 1
3 2
4 1
5 9
6 13
7 20
8 1
9 8
10 3
11 62
12 31
13 127
14
Study on RNA extraction from adipocytes in Ctenopharyngodon idellus
0
15 1
16 1
17 3
18
Molecular identification of Cryptosporidium ryanae isolate from dairy cows in Harbin.
0
19 59
20 28

About Hong Ji

Hong Ji is a scholar working on Molecular Biology, Cancer Research and Hepatology, having authored 223 papers that have together received 12.7k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (23 papers), Viral Infections and Immunology Research (21 papers) and Cancer-related gene regulation (19 papers). The work is most often cited by research in Cancer Research (4.1k citations), Molecular Biology (8.8k citations) and Immunology and Allergy (444 citations). Hong Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Richard J. Simpson, Suresh Mathivanan, David W. Greening, Bow J. Tauro, Rommel A. Mathias, Pierre D. McCrea, Rong Xu, Robert L. Moritz, Andrew M. Scott and Jae‐Il Park. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.

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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