Melissa Yin

53 total papers · 1.5k total citations
20 papers, 1.0k citations indexed

About

Melissa Yin is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Melissa Yin has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Melissa Yin's work include Photoacoustic and Ultrasonic Imaging (9 papers), Ultrasound and Hyperthermia Applications (8 papers) and Nanoplatforms for cancer theranostics (5 papers). Melissa Yin is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (9 papers), Ultrasound and Hyperthermia Applications (8 papers) and Nanoplatforms for cancer theranostics (5 papers). Melissa Yin collaborates with scholars based in Canada, United States and Israel. Melissa Yin's co-authors include F. Stuart Foster, Mikhail G. Shapiro, Steven Conolly, Patrick Goodwill, David V. Schaffer, Avinoam Bar‐Zion, Robert S. Kerbel, Andrew Heinmiller, Christina Theodoropoulos and David O. Bates and has published in prestigious journals such as PLoS ONE, Nature Nanotechnology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Melissa Yin

20 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Melissa Yin	634	255	240	126	104	20	1.0k
Lotfi Abou‐Elkacem	574 0.9×	215 0.8×	270 1.1×	69 0.5×	131 1.3×	27	1.1k
Stavros D. Prionas	614 1.0×	282 1.1×	375 1.6×	113 0.9×	99 1.0×	34	1.2k
Emsad Puric	685 1.1×	144 0.6×	219 0.9×	60 0.5×	138 1.3×	21	948
Jürgen Jenne	630 1.0×	229 0.9×	498 2.1×	86 0.7×	172 1.7×	52	1.2k
Manishkumar Patel	489 0.8×	594 2.3×	188 0.8×	58 0.5×	72 0.7×	17	1.2k
Avinoam Bar‐Zion	478 0.8×	261 1.0×	106 0.4×	102 0.8×	53 0.5×	18	830
D. M. Prescott	433 0.7×	125 0.5×	460 1.9×	95 0.8×	257 2.5×	23	907
Sidney Yu	376 0.6×	222 0.9×	126 0.5×	76 0.6×	153 1.5×	20	864
Aimen Zlitni	520 0.8×	190 0.7×	162 0.7×	23 0.2×	100 1.0×	20	817
Michael Gurfinkel	613 1.0×	236 0.9×	452 1.9×	73 0.6×	155 1.5×	13	1.0k

Countries citing papers authored by Melissa Yin

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Yin

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