Bing Ma

102 papers receiving 7.2k citations

Bing Ma's Hit Papers

Bifidobacterium mechanisms of immune modulation and tolerance 2023 · 181 citations
1810+4+9Years since publication4008001.2k

Peers

Bing Ma
Comparison fields: 5 of 171
  • Microbiology 1.9k
  • Rehabilitation 289
  • Epidemiology 1.3k
  • Molecular Biology 2.4k
  • Biological Psychiatry 80
Replace Pieter S. Hiemstra with:
Pieter S. Hiemstra Netherlands
Jürgen Harder Germany
Jan Buer Germany
André G. Buret Canada
Heidi H. Kong United States
Elizabeth A. Grice United States
Sean Conlan United States
Garth D. Ehrlich United States
Julia A. Segre United States
Alexander R. Horswill United States
Bing Ma relative to Pieter S. Hiemstra Netherlands Pieter S. Hiemstra's profile →
Citations per field
00.5×1.5×2.2×
Pieter S. Hiemstra · 1×
Citations per year

Countries citing papers authored by Bing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform
Hit paper breakdown →
20141363
2
Vaginal Microbiome: Rethinking Health and Disease
Hit paper breakdown →
2012536
3 2007428
4 2020306
5
VALENCIA: a nearest centroid classification method for vaginal microbial communities based on composition
Hit paper breakdown →
2020264
6 2013236
7
Towards a deeper understanding of the vaginal microbiota
Hit paper breakdown →
2022230
8
Bifidobacterium mechanisms of immune modulation and tolerance
Hit paper breakdown →
2023181
9 2018179
10 2014168
11 2017156
12 2015145
13 2019142
14 2015138
15 2021128
16 2019127
17 2015114
18 2020111
19 2015103
20 201396

About Bing Ma

Bing Ma is a scholar working on Molecular Biology, Microbiology, Epidemiology, Infectious Diseases and Surgery, having authored 108 papers that have together received 7.4k indexed citations. Recurring topics across this work include Reproductive tract infections research (32 papers), Gut microbiota and health (27 papers), Urinary Tract Infections Management (12 papers), Wound Healing and Treatments (9 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Cervical Cancer and HPV Research (5 papers), Infant Nutrition and Health (4 papers) and Pelvic floor disorders treatments (4 papers). The work is most often cited by research in Microbiology (1.9k citations), Rehabilitation (289 citations), Epidemiology (1.3k citations), Molecular Biology (2.4k citations) and Biological Psychiatry (80 citations). Bing Ma has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jacques Ravel, Pawel Gajer, Rebecca M. Brotman, Larry J. Forney, Douglas Fadrosh, Sandra Ott, Naomi Sengamalay, Michael France, Chengtie Wu and Jiang Chang. Their work appears in journals such as Microbiome, mBio, Sexually Transmitted Infections, Scientific Reports and Journal of Clinical Investigation.

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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