Bing Ma

10.0k total citations · 6 hit papers
105 papers, 6.9k citations indexed

About

Bing Ma is a scholar working on Molecular Biology, Microbiology and Epidemiology. According to data from OpenAlex, Bing Ma has authored 105 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 35 papers in Microbiology and 33 papers in Epidemiology. Recurrent topics in Bing Ma's work include Gut microbiota and health (36 papers), Reproductive tract infections research (34 papers) and Urinary Tract Infections Management (17 papers). Bing Ma is often cited by papers focused on Gut microbiota and health (36 papers), Reproductive tract infections research (34 papers) and Urinary Tract Infections Management (17 papers). Bing Ma collaborates with scholars based in United States, China and Canada. Bing Ma's co-authors include Jacques Ravel, Pawel Gajer, Rebecca M. Brotman, Douglas Fadrosh, Larry J. Forney, Sandra Ott, Naomi Sengamalay, Jiang Chang, Michael France and Chengtie Wu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bing Ma

100 papers receiving 6.8k citations

Hit Papers

An improved dual-indexing approach for multiplexed 16S rR... 2012 2026 2016 2021 2014 2012 2020 2020 2022 400 800 1.2k

Peers

Bing Ma
Comparison fields: 5 of 172
  • Molecular Biology 2.6k
  • Microbiology 1.9k
  • Epidemiology 1.6k
  • Plant Science 798
  • Biomedical Engineering 636
Replace Elizabeth A. Grice with:
Elizabeth A. Grice United States
Sarah Lebeer Belgium
Janet E. Hill Canada
Julia A. Segre United States
Wenyuan Shi United States
Fen Hu China
George Hajishengallis United States
Robert A. Burne United States
Robert Higgins Canada
Pieter S. Hiemstra Netherlands
Elizabeth A. Grice United States View profile →
Citations per field, relative to Bing Ma
Bing Ma · 1×
Citations per year, relative to Bing Ma
Bing Ma · 1×

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-authorship network of co-authors of Bing Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Ma. A scholar is included among the top collaborators of Bing Ma 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 Bing Ma. Bing Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 5
4 5
5 6
6 31
7 7
8 7
9 20
10 3
11 20
12 71
13 3
14 21
15 40
16 119
17 132
18 141
19
An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform breakdown →
1331
20 226

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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