Hao Ge

4.6k citations
105 papers · 3.0k · 1 hit paper · h-index 21

Impact in

Papers in

Hao Ge

97 papers receiving 3.0k citations

Hao Ge's Hit Papers

Single-cell RNA-seq reveals the diversity of trophoblast subtypes and patterns of differentiation in the human placenta 2018 · 321 citations
3210+2+5Years since publication100200300

Peers

Hao Ge
Comparison fields: 5 of 153
  • Statistical and Nonlinear Physics 580
  • Molecular Medicine 165
  • Obstetrics and Gynecology 200
  • Molecular Biology 1.7k
  • Genetics 559
Replace Chikara Furusawa with:
Chikara Furusawa Japan
Ralf A. Bundschuh United States
Paul A. Wiggins United States
Laurence Salomé France
Sandeep Krishna India
Ted Kalbfleisch United States
Samuel Wu United States
Andrzej M. Kierzek United Kingdom
Fergal Casey United States
Andrea Parmeggiani France
Hao Ge relative to Chikara Furusawa Japan Chikara Furusawa's profile →
Citations per field
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Chikara Furusawa · 1×
Citations per year

Countries citing papers authored by Hao Ge

Since Specialization
Citations

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

Fields of papers citing papers by Hao Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hao Ge, 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 Hao Ge Line = papers co-authored together Hao Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Single-cell RNA-seq reveals the diversity of trophoblast subtypes and patterns of differentiation in the human placenta
Hit paper breakdown →
2018321
2 2016310
3 2014294
4 2013241
5 2010172
6 2016163
7 2015161
8 2018130
9 2011119
10 2015118
11 202292
12 200963
13 201558
14 201647
15 200941
16 201336
17 201035
18 201634
19 201925
20 201424

About Hao Ge

Hao Ge is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Physical and Theoretical Chemistry, Genetics and Atomic and Molecular Physics, and Optics, having authored 105 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (28 papers), Gene Regulatory Network Analysis (24 papers), stochastic dynamics and bifurcation (12 papers), Evolution and Genetic Dynamics (8 papers), thermodynamics and calorimetric analyses (8 papers), Protein Structure and Dynamics (8 papers), Bacterial Genetics and Biotechnology (7 papers) and Coccidia and coccidiosis research (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (580 citations), Molecular Medicine (165 citations), Obstetrics and Gynecology (200 citations), Molecular Biology (1.7k citations) and Genetics (559 citations). Hao Ge has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hong Qian, Xiao Xie, Shasha Chong, Xiaoliang Sunney Xie, Min Qian, Chongyi Chen, Yujie Sun, Katsuyuki Shiroguchi, Huiyi Chen and Da-Quan Jiang. Their work appears in journals such as Physical review. E, The Journal of Physical Chemistry B, Physical Review A, Physical Review Letters and The Journal of Chemical Physics.

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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