Zhitong Bing

1.7k citations
69 papers · 1.2k indexed · h-index 20
Topics
Cancer-related molecular mechanisms research (12 papers)MicroRNA in disease regulation (10 papers)Computational Drug Discovery Methods (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBiochemical and Biophysical Research Communications
Partner nations
ChinaMacaoUnited States

In The Last Decade

Zhitong Bing

66 papers receiving 1.1k citations

Peers

Zhitong Bing
Comparison fields: 5 of 142
  • Molecular Biology 610
  • Cancer Research 283
  • Oncology 253
  • Pulmonary and Respiratory Medicine 237
  • Computational Theory and Mathematics 160
Replace Hyeon-Nae Jeon with:
Hyeon-Nae Jeon South Korea
Wenyu Wang China
Pan Pantziarka Belgium
Max Kotlyar Canada
Gloria Bertoli Italy
Matthew Day United Kingdom
Wen Shi China
Ivan V. Ozerov United States
Hui Peng China
Sandra Braun Germany
Zhitong Bing relative to Hyeon-Nae Jeon South Korea Hyeon-Nae Jeon's profile →
Citations per field
00.5×1.5×1.8×
Hyeon-Nae Jeon · 1×
Citations per year

Countries citing papers authored by Zhitong Bing

Since Specialization
Citations

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

Fields of papers citing papers by Zhitong Bing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhitong Bing

This figure shows the co-authorship network connecting the top 25 collaborators of Zhitong Bing. A scholar is included among the top collaborators of Zhitong Bing 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 Zhitong Bing. Zhitong Bing 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 0
3 13
4 0
5 2
6 1
7 3
8 16
9 35
10 5
11 14
12 6
13 2
14 3
15 8
16 12
17 19
18 16
19 12
20 11

About Zhitong Bing

Zhitong Bing is a scholar working on Cancer Research, Molecular Biology and Computational Theory and Mathematics, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (10 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Cancer Research (283 citations), Computational Theory and Mathematics (160 citations) and Oncology (253 citations). Zhitong Bing has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Kehu Yang, Jinhui Tian, Xiaojun Yao, Xinkui Liu, Lei Yang, Xiaomeng Zhang, Ling Guo, Jiarui Wu, Shuyu Liu and Xiuxia Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.

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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