Ming‐Kuan Chyan

38 total papers · 901 total citations
30 papers, 735 citations indexed

About

Ming‐Kuan Chyan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Organic Chemistry. According to data from OpenAlex, Ming‐Kuan Chyan has authored 30 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Organic Chemistry. Recurrent topics in Ming‐Kuan Chyan's work include Radiopharmaceutical Chemistry and Applications (26 papers), Medical Imaging Techniques and Applications (11 papers) and Boron Compounds in Chemistry (8 papers). Ming‐Kuan Chyan is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (26 papers), Medical Imaging Techniques and Applications (11 papers) and Boron Compounds in Chemistry (8 papers). Ming‐Kuan Chyan collaborates with scholars based in United States, South Africa and Canada. Ming‐Kuan Chyan's co-authors include D. Scott Wilbur, Donald K. Hamlin, Robert L. Vessella, M. Frederick Hawthorne, Pradip M. Pathare, Matthew A. Perry, Janna E. Quinn, Brenda M. Sandmaier, Oliver W. Press and Hirohisa Nakamae and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Ming‐Kuan Chyan

30 papers receiving 723 citations

Author Peers

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

Author						Papers	Cites
Ming‐Kuan Chyan	618	156	130	112	97	30	735
Min K. Moi	639 1.0×	174 1.1×	159 1.2×	255 2.3×	151 1.6×	14	855
Viola Groehn	405 0.7×	129 0.8×	131 1.0×	160 1.4×	108 1.1×	23	681
Petra Watzlowik	488 0.8×	103 0.7×	89 0.7×	243 2.2×	210 2.2×	19	874
Fréderic Boschetti	332 0.5×	94 0.6×	93 0.7×	180 1.6×	148 1.5×	35	701
James W. Brodack	629 1.0×	138 0.9×	87 0.7×	181 1.6×	107 1.1×	18	863
F. Brady	353 0.6×	90 0.6×	81 0.6×	64 0.6×	154 1.6×	39	732
Pradip M. Pathare	260 0.4×	66 0.4×	124 1.0×	144 1.3×	300 3.1×	25	900
Paul D. Benny	556 0.9×	190 1.2×	214 1.6×	328 2.9×	178 1.8×	40	844
V. A. Ol’shevskaya	436 0.7×	192 1.2×	225 1.7×	43 0.4×	137 1.4×	91	851
Chengyan Dong	322 0.5×	69 0.4×	43 0.3×	172 1.5×	229 2.4×	30	876

Countries citing papers authored by Ming‐Kuan Chyan

Since Specialization

Citations

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

Fields of papers citing papers by Ming‐Kuan Chyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Kuan Chyan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Kuan Chyan. A scholar is included among the top collaborators of Ming‐Kuan Chyan 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‐Kuan Chyan. Ming‐Kuan Chyan 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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