Bin Ma

79 papers receiving 2.2k citations

Bin Ma's Hit Papers

Crosstalk between Wnt/β-Catenin and NF-κB Signaling Pathway during Inflammation 2016 · 490 citations
4900+3+6Years since publication100200300400

Peers

Bin Ma
Comparison fields: 5 of 114
  • Cancer Research 374
  • Rheumatology 359
  • Immunology and Allergy 142
  • Immunology 484
  • Molecular Biology 1.0k
Replace Laurence Michel with:
Laurence Michel France
Toshiya Arakawa Japan
Dong Hyun Sohn South Korea
Yan Wu China
Paula M. Oliver United States
Siyoung Yang South Korea
C. Jacques France
Erle Dang China
Christin M. Lepus United States
Piotr Wojdasiewicz Poland
Bin Ma relative to Laurence Michel France Laurence Michel's profile →
Citations per field
00.5×1.5×2.2×
Laurence Michel · 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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crosstalk between Wnt/β-Catenin and NF-κB Signaling Pathway during Inflammation
Hit paper breakdown →
2016490
2 2013145
3 2016108
4 2015102
5 202084
6 201271
7 202061
8 201157
9
Cytokine networking of chondrocyte dedifferentiation in vitro and its implications for cell-based cartilage therapy.
201557
10 202054
11 201354
12 202049
13 201547
14 201245
15 201544
16 201343
17 201839
18 201337
19 201535
20 201835

About Bin Ma

Bin Ma is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Surgery, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (11 papers), Cancer-related molecular mechanisms research (9 papers), Spine and Intervertebral Disc Pathology (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cell Adhesion Molecules Research (6 papers), NF-κB Signaling Pathways (5 papers), Musculoskeletal pain and rehabilitation (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Cancer Research (374 citations), Rheumatology (359 citations), Immunology and Allergy (142 citations), Immunology (484 citations) and Molecular Biology (1.0k citations). Bin Ma has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Michael O. Hottiger, Marcel Karperien, Clemens van Blitterswijk, Janine N. Post, Abigail Woodfin, Xing Fu, Sussan Nourshargh, James R. Whiteford, Ling Wu and Michelle M. A. Kip. Their work appears in journals such as Frontiers in Immunology, Cancer Research, Journal of Reproductive Immunology, International Immunopharmacology and Journal of Visualized Experiments.

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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