Haibo Pan

24 total papers · 663 total citations
21 papers, 415 citations indexed

About

Haibo Pan is a scholar working on Ecology, Soil Science and Molecular Biology. According to data from OpenAlex, Haibo Pan has authored 21 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 9 papers in Soil Science and 8 papers in Molecular Biology. Recurrent topics in Haibo Pan's work include Microbial Community Ecology and Physiology (12 papers), Soil Carbon and Nitrogen Dynamics (9 papers) and Mycorrhizal Fungi and Plant Interactions (3 papers). Haibo Pan is often cited by papers focused on Microbial Community Ecology and Physiology (12 papers), Soil Carbon and Nitrogen Dynamics (9 papers) and Mycorrhizal Fungi and Plant Interactions (3 papers). Haibo Pan collaborates with scholars based in China, United States and Switzerland. Haibo Pan's co-authors include Ziheng Peng, Jiejun Qi, Yu Liu, Beibei Chen, Shuo Jiao, Chunling Liang, Gehong Wei, Xun Qian, Hang Gao and Yang Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioresource Technology.

In The Last Decade

Haibo Pan

20 papers receiving 410 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Haibo Pan 187 142 142 139 43 21 415
Shuzhen Feng 108 0.6× 92 0.6× 211 1.5× 124 0.9× 21 0.5× 19 425
Selma Vieira 181 1.0× 146 1.0× 83 0.6× 145 1.0× 24 0.6× 14 367
Likun Sun 160 0.9× 104 0.7× 118 0.8× 111 0.8× 32 0.7× 21 392
Mo Li 183 1.0× 127 0.9× 56 0.4× 121 0.9× 82 1.9× 28 473
Paige E. Axelrood 173 0.9× 150 1.1× 91 0.6× 274 2.0× 25 0.6× 14 477
Chunling Liang 267 1.4× 150 1.1× 124 0.9× 110 0.8× 38 0.9× 16 438
Nina Montoya‐Ciriaco 185 1.0× 128 0.9× 198 1.4× 129 0.9× 33 0.8× 9 418
Jiayuan Zhao 115 0.6× 193 1.4× 76 0.5× 182 1.3× 60 1.4× 22 493
Lin Jiang 234 1.3× 75 0.5× 110 0.8× 119 0.9× 51 1.2× 17 458
Seema Makhija 141 0.8× 156 1.1× 60 0.4× 64 0.5× 45 1.0× 25 432

Countries citing papers authored by Haibo Pan

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Pan. A scholar is included among the top collaborators of Haibo Pan 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 Haibo Pan. Haibo Pan 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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