Ming‐Fei Liu

14 total papers · 716 total citations
11 papers, 612 citations indexed

About

Ming‐Fei Liu is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Ming‐Fei Liu has authored 11 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Ming‐Fei Liu's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Ming‐Fei Liu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Ming‐Fei Liu collaborates with scholars based in Taiwan and United States. Ming‐Fei Liu's co-authors include Pojen P. Chen, Dennis A. Carson, Chrong‐Reen Wang, Chao‐Liang Wu, Shih‐Yao Chen, I‐Ming Jou, Ai‐Li Shiau, Chi‐Chen Lin, Yu‐Hsiang Hsu and Kuo‐Yuan Huang and has published in prestigious journals such as Arthritis & Rheumatology, Clinical Rheumatology and Chemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy.

In The Last Decade

Ming‐Fei Liu

11 papers receiving 605 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ming‐Fei Liu	284	242	187	148	112	11	612
M L Banquerigo	206 0.7×	241 1.0×	89 0.5×	80 0.5×	54 0.5×	10	619
Qun Jiao	259 0.9×	161 0.7×	201 1.1×	94 0.6×	23 0.2×	17	577
Michelle Campbell	358 1.3×	198 0.8×	183 1.0×	39 0.3×	31 0.3×	12	615
Stephen Castaneda	144 0.5×	216 0.9×	75 0.4×	70 0.5×	83 0.7×	14	680
Hervé Watier	269 0.9×	156 0.6×	213 1.1×	65 0.4×	30 0.3×	11	677
Marjolein Vinkenoog	206 0.7×	122 0.5×	66 0.4×	312 2.1×	60 0.5×	8	547
Carl W. Steiner	304 1.1×	257 1.1×	50 0.3×	271 1.8×	57 0.5×	11	692
Marissa A. Michaels	416 1.5×	206 0.9×	119 0.6×	226 1.5×	66 0.6×	8	698
Pernilla Martinsson	298 1.0×	171 0.7×	290 1.6×	123 0.8×	32 0.3×	10	536
Jamie L. DellaGatta	291 1.0×	272 1.1×	53 0.3×	37 0.3×	118 1.1×	8	653

Countries citing papers authored by Ming‐Fei Liu

Since Specialization

Citations

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

Fields of papers citing papers by Ming‐Fei Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Fei Liu. 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 Ming‐Fei Liu. The network helps show where Ming‐Fei Liu may publish in the future.

Co-authorship network of co-authors of Ming‐Fei Liu

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

All Works

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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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