M. J. Huang

20 total papers · 512 total citations
18 papers, 350 citations indexed

About

M. J. Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, M. J. Huang has authored 18 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in M. J. Huang's work include Thyroid Cancer Diagnosis and Treatment (6 papers), Hepatitis B Virus Studies (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). M. J. Huang is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (6 papers), Hepatitis B Virus Studies (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). M. J. Huang collaborates with scholars based in Taiwan, Saudi Arabia and United States. M. J. Huang's co-authors include Kai‐Yuan Tzen, Tzu‐Chieh Chao, Yun‐Fan Liaw, Jen‐Der Lin, Jui‐Hsiang Lin, Hsiao‐Fen Weng, Wei Jiang, Chia‐Ming Chu, Chaur‐Young Yang and Shenghui Wu and has published in prestigious journals such as The Journal of Infectious Diseases, Electrochemical and Solid-State Letters and Infection.

In The Last Decade

M. J. Huang

18 papers receiving 337 citations

Author Peers

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

Author						Papers	Cites
M. J. Huang	165	137	107	85	39	18	350
G Passarino	134 0.8×	157 1.1×	134 1.3×	50 0.6×	71 1.8×	16	355
Şafak Kızıltaş	69 0.4×	70 0.5×	193 1.8×	94 1.1×	25 0.6×	28	378
Mónica Marino	53 0.3×	80 0.6×	170 1.6×	168 2.0×	21 0.5×	22	318
Başak Çakal	34 0.2×	104 0.8×	125 1.2×	36 0.4×	85 2.2×	22	356
Sanjay Ramrakhiani	52 0.3×	86 0.6×	155 1.4×	110 1.3×	102 2.6×	21	309
Aniruddha Phadke	28 0.2×	166 1.2×	157 1.5×	73 0.9×	30 0.8×	25	344
Nivene Saad	76 0.5×	68 0.5×	214 2.0×	141 1.7×	30 0.8×	23	333
Rajani Sharma	62 0.4×	81 0.6×	284 2.7×	179 2.1×	22 0.6×	27	376
Ali Tüzün	31 0.2×	100 0.7×	186 1.7×	141 1.7×	38 1.0×	25	338
Kaushal Madan	61 0.4×	89 0.6×	197 1.8×	102 1.2×	28 0.7×	18	293

Countries citing papers authored by M. J. Huang

Since Specialization

Citations

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

Fields of papers citing papers by M. J. Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Huang. 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 M. J. Huang. The network helps show where M. J. Huang may publish in the future.

Co-authorship network of co-authors of M. J. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Huang. A scholar is included among the top collaborators of M. J. Huang 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 M. J. Huang. M. J. Huang 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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