Guohui Ding

3.5k citations
74 papers · 2.6k · 1 hit paper · h-index 27

Impact in

Papers in

Guohui Ding

73 papers receiving 2.5k citations

Guohui Ding's Hit Papers

Whole-genome sequencing of 128 camels across Asia reveals origin and migration of domestic Bactrian camels 2020 · 232 citations
2320+2+4Years since publication50100150200

Peers

Guohui Ding
Comparison fields: 5 of 121
  • Cellular and Molecular Neuroscience 348
  • Cancer Research 234
  • Molecular Biology 877
  • Genetics 336
  • Hepatology 71
Replace Wayne T. Matten with:
Wayne T. Matten United States
Vincent Ollendorff France
Maurizio Ceppi Switzerland
Yun Zhao China
Ana Maria Rojas Spain
Bryan C. Frank United States
Ann E. Sluder United States
Mirita Franz‐Wachtel Germany
Susan Ferro‐Novick United States
Gisela Heidecker United States
Guohui Ding relative to Wayne T. Matten United States Wayne T. Matten's profile →
Citations per field
00.5×2×2.7×
Wayne T. Matten · 1×
Citations per year

Countries citing papers authored by Guohui Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guohui Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guohui Ding Line = papers co-authored together Guohui Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Whole-genome sequencing of 128 camels across Asia reveals origin and migration of domestic Bactrian camels
Hit paper breakdown →
2020232
2 2012155
3 2013117
4 2021114
5 2009113
6 2012111
7 2012102
8 201898
9 201895
10 201186
11 201183
12 201469
13 201569
14 201164
15 201364
16 200762
17 200754
18 201254
19 201452
20 200647

About Guohui Ding

Guohui Ding is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Genetics and Hepatology, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Genomics and Phylogenetic Studies (8 papers), Nerve injury and regeneration (7 papers), Genomics and Chromatin Dynamics (7 papers), Chromosomal and Genetic Variations (5 papers), Genetic and phenotypic traits in livestock (4 papers), Influenza Virus Research Studies (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (348 citations), Cancer Research (234 citations), Molecular Biology (877 citations), Genetics (336 citations) and Hepatology (71 citations). Guohui Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yixue Li, Xiao-song Gu, Bin Yu, Songlin Zhou, Yongjun Wang, Fei Ding, Tianmei Qian, Lu Xie, Hong Li and Zhonghao Yu. Their work appears in journals such as BMC Genomics, PLoS ONE, BMC Bioinformatics, BioMed Research International 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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