Meina Liang

3.2k citations
75 papers · 1.7k indexed · h-index 24
Topics
Monoclonal and Polyclonal Antibodies Research (38 papers)Biosimilars and Bioanalytical Methods (12 papers)Chemokine receptors and signaling (9 papers)
Journals
Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Meina Liang

74 papers receiving 1.6k citations

Peers

Meina Liang
Comparison fields: 5 of 102
  • Oncology 745
  • Immunology 736
  • Molecular Biology 656
  • Radiology, Nuclear Medicine and Imaging 607
  • Rheumatology 174
Replace Yulia Vugmeyster with:
Yulia Vugmeyster United States
Masayuki Tsuchiya Japan
Martin Hegen United States
Christophe Blanchetot Netherlands
Werner Scheuer Germany
Hovav Nechushtan Israel
Rémi Fagard France
Leia M. Smith United States
Evert de Vries Netherlands
Yasuto Akiyama Japan
Meina Liang relative to Yulia Vugmeyster United States Yulia Vugmeyster's profile →
Citations per field
00.5×1.5×2.2×
Yulia Vugmeyster · 1×
Citations per year

Countries citing papers authored by Meina Liang

Since Specialization
Citations

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

Fields of papers citing papers by Meina Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meina Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Meina Liang. A scholar is included among the top collaborators of Meina Liang 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 Meina Liang. Meina Liang 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
#WorkIndexed citations
1 0
2 9
3 5
4 7
5 12
6 17
7 33
8 33
9 6
10 73
11 20
12 10
13 57
14 26
15 8
16 24
17 11
18 66
19 19
20 41

About Meina Liang

Meina Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Oncology, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (38 papers), Biosimilars and Bioanalytical Methods (12 papers) and Chemokine receptors and signaling (9 papers). The work is most often cited by research in Immunology (736 citations), Oncology (745 citations) and Radiology, Nuclear Medicine and Imaging (607 citations). Meina Liang has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Lorin Roskos, Inna Vainshtein, James C. Garrison, Richard Horuk, Joseph Hesselgesser, Anton I. Rosenbaum, Dennis D. Taub, Amy Schneider, Howard P. Ng and Michael Greenberg. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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