Jing‐Dong J. Han

14.2k citations
140 papers · 7.8k indexed · 2 hit papers · h-index 45
Topics
Genetics, Aging, and Longevity in Model Organisms (27 papers)Single-cell and spatial transcriptomics (21 papers)Epigenetics and DNA Methylation (21 papers)

In The Last Decade

Jing‐Dong J. Han

139 papers receiving 7.7k citations

Hit Papers

Evidence for dynamically organized modularity in the yeas...2004202620112018200420244008001.2k

Peers

Jing‐Dong J. Han
Comparison fields: 5 of 179
  • Molecular Biology 5.5k
  • Physiology 768
  • Cancer Research 762
  • Aging 688
  • Genetics 582
Replace Albertha J.M. Walhout with:
Albertha J.M. Walhout United States
Meng‐Qiu Dong China
Ernest Fraenkel United States
Frank C. P. Holstege Netherlands
Benjamin P. Tu United States
Axel Imhof Germany
Douglas A Hosack United States
Wyeth W. Wasserman Canada
Glynn Dennis United States
Jiang Qian United States
Jing‐Dong J. Han relative to Albertha J.M. Walhout United States Albertha J.M. Walhout's profile →
Citations per field
00.5×1.6×
Albertha J.M. Walhout · 1×
Citations per year

Countries citing papers authored by Jing‐Dong J. Han

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Dong J. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Dong J. Han. 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 Jing‐Dong J. Han. The network helps show where Jing‐Dong J. Han may publish in the future.

Co-authorship network of co-authors of Jing‐Dong J. Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Dong J. Han. A scholar is included among the top collaborators of Jing‐Dong J. Han 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 Jing‐Dong J. Han. Jing‐Dong J. Han 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 10
4 15
5 66
6 5
7 38
8 10
9 47
10 44
11 3
12 22
13 25
14 224
15 75
16 78
17 41
18 78
19
Evidence for dynamically organized modularity in the yeast protein–protein interaction networkbreakdown →
1301
20 416

About Jing‐Dong J. Han

Jing‐Dong J. Han is a scholar working on Aging, Molecular Biology and Cancer Research, having authored 140 papers that have together received 7.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (27 papers), Single-cell and spatial transcriptomics (21 papers) and Epigenetics and DNA Methylation (21 papers). The work is most often cited by research in Aging (688 citations), Molecular Biology (5.5k citations) and Cancer Research (762 citations). Jing‐Dong J. Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nicolas Bertin, Denis Dupuy, Michael E. Cusick, Marc Vidal, Tong Hao, Ye‐Guang Chen, Albertha J.M. Walhout, Frederick P. Roth, Gabriel F. Berriz and Lan V. Zhang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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