Yan‐Qing Ma

851 total citations
21 papers, 543 citations indexed

About

Yan‐Qing Ma is a scholar working on Immunology and Allergy, Molecular Biology and Immunology. According to data from OpenAlex, Yan‐Qing Ma has authored 21 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology and Allergy, 10 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Yan‐Qing Ma's work include Cell Adhesion Molecules Research (16 papers), Glycosylation and Glycoproteins Research (4 papers) and Platelet Disorders and Treatments (4 papers). Yan‐Qing Ma is often cited by papers focused on Cell Adhesion Molecules Research (16 papers), Glycosylation and Glycoproteins Research (4 papers) and Platelet Disorders and Treatments (4 papers). Yan‐Qing Ma collaborates with scholars based in United States and China. Yan‐Qing Ma's co-authors include Zhen Xu, Jun Qin, Edward F. Plow, Juan Gao, Gilbert White, Edward A. Fisher, Karen Briley‐Sæbø, Alessandra Barazza, David P. Cormode and Zahi A. Fayad and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Yan‐Qing Ma

21 papers receiving 530 citations

Peers

Yan‐Qing Ma
Comparison fields: 5 of 73
  • Immunology and Allergy 275
  • Molecular Biology 229
  • Cell Biology 152
  • Immunology 116
  • Hematology 86
Replace Annika N. Alexopoulou with:
Annika N. Alexopoulou United Kingdom
Usha Nagavarapu United States
Ute Ipe Germany
Niels Heemskerk Netherlands
Danielle Gulino-Debrac France
Florian Wessel Germany
Evelyn S. Brown United States
Paulina Moreno‐Layseca United Kingdom
Marzia Abbadini Italy
Cora‐Jean S. Edgell United States
Annika N. Alexopoulou United Kingdom View profile →
Citations per field, relative to Yan‐Qing Ma
Yan‐Qing Ma · 1×
Citations per year, relative to Yan‐Qing Ma
Yan‐Qing Ma · 1×

Countries citing papers authored by Yan‐Qing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Qing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan‐Qing Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Qing Ma. A scholar is included among the top collaborators of Yan‐Qing 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 Yan‐Qing Ma. Yan‐Qing 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 3
3 2
4 13
5 2
6 3
7 6
8 17
9 19
10 14
11 11
12 9
13 50
14 17
15 17
16 85
17 98
18 95
19 17
20 34

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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