Haihong Guo

26 total papers · 642 total citations
17 papers, 458 citations indexed

About

Haihong Guo is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Haihong Guo has authored 17 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Surgery. Recurrent topics in Haihong Guo's work include Nuclear Structure and Function (4 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Haihong Guo is often cited by papers focused on Nuclear Structure and Function (4 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Haihong Guo collaborates with scholars based in United States, Germany and China. Haihong Guo's co-authors include Yan Chen, Ruth E. Gimeno, Mengdie Luo, Don B. McClure, Yuewei Qian, Robert W. Siegel, Robert J. Konrad, Ferdinand van’t Hooft, William C. Roell and Ajit Regmi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Scientific Reports.

In The Last Decade

Haihong Guo

16 papers receiving 452 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Haihong Guo 252 133 125 104 69 17 458
Talat Afroze 261 1.0× 142 1.1× 63 0.5× 102 1.0× 71 1.0× 20 511
Peng Guo 201 0.8× 102 0.8× 58 0.5× 106 1.0× 62 0.9× 20 453
Patricia Oliviéro 253 1.0× 83 0.6× 98 0.8× 216 2.1× 131 1.9× 16 527
Manabu Setoguchi 226 0.9× 86 0.6× 102 0.8× 186 1.8× 55 0.8× 16 479
A. Sandra 341 1.4× 85 0.6× 81 0.6× 72 0.7× 114 1.7× 32 542
Rachel S. Jung 175 0.7× 125 0.9× 69 0.6× 182 1.8× 44 0.6× 21 460
Jun-ichi Ohsuga 179 0.7× 135 1.0× 177 1.4× 87 0.8× 46 0.7× 16 498
Lakshman Segar 280 1.1× 100 0.8× 95 0.8× 54 0.5× 75 1.1× 19 517
Romana Mughal 183 0.7× 61 0.5× 86 0.7× 107 1.0× 90 1.3× 13 411
Ronit Heinrich 238 0.9× 103 0.8× 66 0.5× 122 1.2× 32 0.5× 25 500

Countries citing papers authored by Haihong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Haihong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihong Guo

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

All Works

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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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