Bin Ma

1.6k citations
57 papers · 1.3k · h-index 17

Impact in

    • Soil Carbon and Nitrogen Dynamics
  • Pollution top 5%
    • Microbial bioremediation and biosurfactants

Papers in

Bin Ma

52 papers receiving 1.3k citations

Peers

Bin Ma
Comparison fields: 5 of 112
  • Soil Science 257
  • Pollution 293
  • Ecology 441
  • Health, Toxicology and Mutagenesis 202
  • Environmental Chemistry 111
Replace Jie‐Liang Liang with:
Jie‐Liang Liang China
Michael D. Mullen United States
Kehui Liu China
Ting Zhu China
Yunchao Wu China
Renhua Sun (Genuine) China
Shiping Deng United States
Saikat Chowdhury United States
Hajnalka Kiss Sweden
Bin Ma relative to Jie‐Liang Liang China Jie‐Liang Liang's profile →
Citations per field
00.5×2×3×3.8×
Jie‐Liang Liang · 1×
Citations per year

Countries citing papers authored by Bin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013174
2 2013112
3 2015104
4 2016103
5 2016102
6 200992
7 201487
8 201486
9 201354
10 201146
11 201535
12 201534
13 201533
14 200631
15 201025
16 201523
17 201119
18 201215
19 201813
20 201011

About Bin Ma

Bin Ma is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Ecology, Emergency Medical Services and Epidemiology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (9 papers), Microbial bioremediation and biosurfactants (8 papers), Congenital Heart Disease Studies (8 papers), Toxic Organic Pollutants Impact (7 papers), Vascular anomalies and interventions (5 papers), Coastal wetland ecosystem dynamics (5 papers), Tracheal and airway disorders (3 papers) and Central Venous Catheters and Hemodialysis (3 papers). The work is most often cited by research in Soil Science (257 citations), Pollution (293 citations), Ecology (441 citations), Health, Toxicology and Mutagenesis (202 citations) and Environmental Chemistry (111 citations). Bin Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Gong, Jianming M. Xu, Scott X. Chang, Yan He, Xiaoli Zhang, Xiaofei Lv, Junbao Yu, Huaihai Chen, Huifeng Wu and Zed Rengel. Their work appears in journals such as Environmental Pollution, Scientific Reports, Journal of Soils and Sediments, PLoS ONE and BMC Pregnancy and Childbirth.

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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