Xiaochen Ma

70 papers receiving 3.0k citations

Peers

Xiaochen Ma
Comparison fields: 5 of 122
  • Renewable Energy, Sustainability and the Environment 1.4k
  • Pollution 410
  • Industrial and Manufacturing Engineering 304
  • Endocrinology 167
  • Biotechnology 219
Replace Gergely Maróti with:
Gergely Maróti Hungary
Richard Sparling Canada
Xin Yu China
Meizhen Wang China
Domenico Santoro Canada
Chengsong Ye China
Kam Tin Leung Canada
Hans‐Ulrich Weilenmann Switzerland
Anne‐Marie Pourcher France
Xiaochen Ma relative to Gergely Maróti Hungary Gergely Maróti's profile →
Citations per field
00.5×1.5×2.4×
Gergely Maróti · 1×
Citations per year

Countries citing papers authored by Xiaochen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012224
2 2012186
3 2020172
4 2014163
5 2012152
6 2014151
7 2013146
8 2015142
9 2012140
10 2013134
11 2017107
12 2014105
13 2012104
14 200097
15 201597
16 201693
17 201379
18 201859
19 202145
20 201945

About Xiaochen Ma

Xiaochen Ma is a scholar working on Food Science, Renewable Energy, Sustainability and the Environment, Pollution, Molecular Biology and Biotechnology, having authored 72 papers that have together received 3.1k indexed citations. Recurring topics across this work include Algal biology and biofuel production (18 papers), Salmonella and Campylobacter epidemiology (13 papers), Wastewater Treatment and Nitrogen Removal (10 papers), Food Safety and Hygiene (9 papers), Listeria monocytogenes in Food Safety (9 papers), Biodiesel Production and Applications (7 papers), Anaerobic Digestion and Biogas Production (7 papers) and Microbial Community Ecology and Physiology (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.4k citations), Pollution (410 citations), Industrial and Manufacturing Engineering (304 citations), Endocrinology (167 citations) and Biotechnology (219 citations). Xiaochen Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Roger Ruan, Paul Chen, Wenguang Zhou, Yanling Cheng, Min Min, Bing Hu, Yuhuan Liu, Zhenyi Du, Xiangkun Li and Gaige Liu. Their work appears in journals such as Bioresource Technology, Foodborne Pathogens and Disease, Applied Biochemistry and Biotechnology, China CDC Weekly and Frontiers in Microbiology.

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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