Jianting Gong

754 citations
12 papers · 451 indexed · 1 hit paper · h-index 8
Topics
Protein Structure and Dynamics (3 papers)Computational Drug Discovery Methods (3 papers)Bioinformatics and Genomic Networks (2 papers)
Partner nations
ChinaUnited StatesIran

In The Last Decade

Jianting Gong

12 papers receiving 442 citations

Hit Papers

scGNN is a novel graph neural network framework for singl...2021202620222024202150100150200250

Peers

Jianting Gong
Comparison fields: 5 of 78
  • Molecular Biology 316
  • Electrical and Electronic Engineering 68
  • Cancer Research 64
  • Biophysics 54
  • Materials Chemistry 40
Replace Timothy Kwa with:
Timothy Kwa United States
Shuvashis Dey Australia
Kevin A. Yamauchi United States
Zhen Cheng China
Dahou Yang Singapore
Yinan Shen United States
Jianting Gong relative to Timothy Kwa United States Timothy Kwa's profile →
Citations per field
00.5×3.2×
Timothy Kwa · 1×
Citations per year

Countries citing papers authored by Jianting Gong

Since Specialization
Citations

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

Fields of papers citing papers by Jianting Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianting Gong

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 5
3 13
4 2
5 13
6
scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesbreakdown →
250
7 50
8 20
9 48
10 10
11 38
12 1

About Jianting Gong

Jianting Gong is a scholar working on Metals and Alloys, Computational Theory and Mathematics and Polymers and Plastics, having authored 12 papers that have together received 451 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Biophysics (54 citations), Molecular Biology (316 citations) and Cancer Research (64 citations). Jianting Gong has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Juexin Wang, Dong Xu, Yuexu Jiang, Ren Qi, Yuzhou Chang, Cankun Wang, Qin Ma, Anjun Ma, Hongjun Fu and Changjun Liu. Their work appears in journals such as Nature Communications, Bioinformatics and Scientific Reports.

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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