Shaohua Wang

61 total papers · 4.1k total citations
49 papers, 3.1k citations indexed

About

Shaohua Wang is a scholar working on Molecular Biology, Physiology and Infectious Diseases. According to data from OpenAlex, Shaohua Wang has authored 49 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Physiology and 18 papers in Infectious Diseases. Recurrent topics in Shaohua Wang's work include Gut microbiota and health (26 papers), Diet and metabolism studies (18 papers) and Clostridium difficile and Clostridium perfringens research (9 papers). Shaohua Wang is often cited by papers focused on Gut microbiota and health (26 papers), Diet and metabolism studies (18 papers) and Clostridium difficile and Clostridium perfringens research (9 papers). Shaohua Wang collaborates with scholars based in United States, China and Iran. Shaohua Wang's co-authors include Hariom Yadav, Ravinder Nagpal, Suzanne Craft, Shokouh Ahmadi, Bryan J. Neth, Dalane W. Kitzman, Kylie Kavanagh, Sidharth P. Mishra, Ria Singh and Rabina Mainali and has published in prestigious journals such as Applied and Environmental Microbiology, Diabetes and Bioresource Technology.

In The Last Decade

Shaohua Wang

47 papers receiving 3.1k citations

Hit Papers

Gut microbiome and aging:... 2017 2026 2020 2023 2017 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Shaohua Wang 2.0k 1.1k 596 433 392 49 3.1k
Chia‐Chen Lu 2.4k 1.2× 816 0.8× 352 0.6× 434 1.0× 271 0.7× 48 3.7k
Caleb Kelly 2.4k 1.2× 897 0.8× 481 0.8× 375 0.9× 229 0.6× 41 4.1k
Robert C. Alaniz 1.9k 0.9× 736 0.7× 429 0.7× 401 0.9× 370 0.9× 50 3.3k
Almut Heinken 3.4k 1.7× 1.0k 1.0× 441 0.7× 603 1.4× 182 0.5× 39 4.4k
Mohamed S. Donia 3.8k 1.9× 632 0.6× 541 0.9× 677 1.6× 426 1.1× 50 5.2k
Pauline Raoul 2.3k 1.1× 1.4k 1.3× 506 0.8× 424 1.0× 262 0.7× 41 3.8k
Qing Liu 1.7k 0.8× 611 0.6× 350 0.6× 322 0.7× 312 0.8× 45 2.7k
Dylan Dodd 2.6k 1.3× 673 0.6× 459 0.8× 502 1.2× 317 0.8× 43 3.8k
Sandrine P. Claus 2.8k 1.4× 1.5k 1.4× 352 0.6× 531 1.2× 213 0.5× 53 4.1k
Danping Zheng 2.9k 1.4× 921 0.9× 617 1.0× 360 0.8× 277 0.7× 35 4.6k

Countries citing papers authored by Shaohua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Wang

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