Hu Shi

26 total papers · 980 total citations
21 papers, 762 citations indexed

About

Hu Shi is a scholar working on Food Science, Biotechnology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hu Shi has authored 21 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Food Science, 8 papers in Biotechnology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hu Shi's work include Mycotoxins in Agriculture and Food (7 papers), Plasma Applications and Diagnostics (7 papers) and Microbial Inactivation Methods (6 papers). Hu Shi is often cited by papers focused on Mycotoxins in Agriculture and Food (7 papers), Plasma Applications and Diagnostics (7 papers) and Microbial Inactivation Methods (6 papers). Hu Shi collaborates with scholars based in United States, China and Saudi Arabia. Hu Shi's co-authors include Kevin M. Keener, S.K. Pankaj, Klein E. Ileleji, R. L. Stroshine, Yang Jiao, Melha Mellata, Feng Li, Feng Li, Steve Flint and Jon Palmer and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Hu Shi

19 papers receiving 743 citations

Hit Papers

A review of novel physica... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Hu Shi 426 264 238 213 84 21 762
Okon Johnson Esua 252 0.6× 152 0.6× 184 0.8× 274 1.3× 159 1.9× 28 888
Zhilin Gan 203 0.5× 148 0.6× 155 0.7× 288 1.4× 142 1.7× 23 845
N. U. Sruthi 190 0.4× 107 0.4× 160 0.7× 310 1.5× 84 1.0× 17 716
Murtaza Ali 124 0.3× 167 0.6× 113 0.5× 181 0.8× 90 1.1× 24 631
Ronit Mandal 145 0.3× 163 0.6× 244 1.0× 288 1.4× 124 1.5× 20 774
Seeratpreet Kaur 359 0.8× 123 0.5× 74 0.3× 433 2.0× 60 0.7× 19 901
Yingyin Xu 245 0.6× 219 0.8× 93 0.4× 149 0.7× 145 1.7× 19 714
Nikhil Kumar Mahnot 110 0.3× 125 0.5× 124 0.5× 350 1.6× 63 0.8× 18 658
A. Prelle 393 0.9× 71 0.3× 59 0.2× 187 0.9× 51 0.6× 14 658
Yeong Ji Oh 117 0.3× 220 0.8× 190 0.8× 300 1.4× 191 2.3× 19 663

Countries citing papers authored by Hu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Shi

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