Meifang Su

26 total papers · 513 total citations
18 papers, 403 citations indexed

About

Meifang Su is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Meifang Su has authored 18 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Meifang Su's work include Thyroid Disorders and Treatments (6 papers), Cardiovascular Health and Risk Factors (3 papers) and Diet and metabolism studies (3 papers). Meifang Su is often cited by papers focused on Thyroid Disorders and Treatments (6 papers), Cardiovascular Health and Risk Factors (3 papers) and Diet and metabolism studies (3 papers). Meifang Su collaborates with scholars based in China and Canada. Meifang Su's co-authors include Qingwu Jiang, Chaowei Fu, Na Wang, Feng Jiang, Hexing Wang, Qi Zhao, Peixin Huang, Ying Zhou, Bin Wang and Chuanxi Tang and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and BMC Public Health.

In The Last Decade

Meifang Su

17 papers receiving 400 citations

Author Peers

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

Author Last Decade Papers Cites
Meifang Su 140 85 76 51 49 18 403
Xiude Li 54 0.4× 40 0.5× 107 1.4× 136 2.7× 18 0.4× 41 445
Corina‐Aurelia Zugravu 34 0.2× 38 0.4× 51 0.7× 52 1.0× 11 0.2× 56 412
Ilze Radoviča-Spalviņa 65 0.5× 203 2.4× 17 0.2× 18 0.4× 15 0.3× 18 357
Gabriela Cioca 62 0.4× 45 0.5× 41 0.5× 57 1.1× 18 0.4× 42 395
Monika Grabia 49 0.3× 57 0.7× 67 0.9× 44 0.9× 74 1.5× 25 410
Sming Kaojarern 36 0.3× 43 0.5× 107 1.4× 15 0.3× 40 0.8× 20 402
Selda Mercan 72 0.5× 28 0.3× 59 0.8× 25 0.5× 68 1.4× 39 340
David Lozano‐Paniagua 76 0.5× 56 0.7× 95 1.3× 43 0.8× 18 0.4× 36 415
Usha Gupta 42 0.3× 25 0.3× 5 0.1× 46 0.9× 45 0.9× 15 414
Joanna Bielecka 49 0.3× 61 0.7× 68 0.9× 42 0.8× 74 1.5× 19 381

Countries citing papers authored by Meifang Su

Since Specialization
Citations

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

Fields of papers citing papers by Meifang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meifang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Meifang Su. A scholar is included among the top collaborators of Meifang Su 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 Meifang Su. Meifang Su 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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