John C. Yang

1.4k total citations
9 papers, 959 citations indexed

About

John C. Yang is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Infectious Diseases. According to data from OpenAlex, John C. Yang has authored 9 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Atomic and Molecular Physics, and Optics, 4 papers in Electrical and Electronic Engineering and 3 papers in Infectious Diseases. Recurrent topics in John C. Yang's work include Molecular Junctions and Nanostructures (4 papers), Force Microscopy Techniques and Applications (3 papers) and Antifungal resistance and susceptibility (3 papers). John C. Yang is often cited by papers focused on Molecular Junctions and Nanostructures (4 papers), Force Microscopy Techniques and Applications (3 papers) and Antifungal resistance and susceptibility (3 papers). John C. Yang collaborates with scholars based in United States, Netherlands and Canada. John C. Yang's co-authors include R. Shashidhar, James G. Kushmerick, Amy Szuchmacher Blum, Banahalli R. Ratna, Steven K. Pollack, Jawad Naciri, M. H. Moore, James M. Tour, Mark A. Ratner and D. B. Holt and has published in prestigious journals such as Journal of the American Chemical Society, Nature Materials and Applied Physics Letters.

In The Last Decade

John C. Yang

9 papers receiving 948 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John C. Yang United States	8	638	313	178	158	155	9	959
Luxia Wang China	16	226 0.4×	212 0.7×	81 0.5×	111 0.7×	56 0.4×	86	790
Caecilia Schmid Switzerland	13	176 0.3×	67 0.2×	166 0.9×	716 4.5×	111 0.7×	21	1.4k
Aaron S. Anderson United States	15	176 0.3×	87 0.3×	272 1.5×	84 0.5×	88 0.6×	36	763
Harshini Mukundan United States	20	159 0.2×	59 0.2×	336 1.9×	262 1.7×	246 1.6×	64	1.4k
Narendra Kumar India	14	224 0.4×	47 0.2×	165 0.9×	23 0.1×	149 1.0×	29	675
Bingqing Zhu China	19	208 0.3×	123 0.4×	195 1.1×	434 2.7×	55 0.4×	58	1.1k
Botao Ji China	25	731 1.1×	140 0.4×	204 1.1×	461 2.9×	580 3.7×	49	1.8k
Malay Kumar Rana India	23	101 0.2×	62 0.2×	145 0.8×	67 0.4×	238 1.5×	58	1.2k
Adrian P. Goodey United States	12	214 0.3×	64 0.2×	655 3.7×	43 0.3×	100 0.6×	20	1.1k
Manuela Mura United Kingdom	19	321 0.5×	309 1.0×	529 3.0×	46 0.3×	21 0.1×	32	1.1k

Countries citing papers authored by John C. Yang

Since Specialization

Citations

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

Fields of papers citing papers by John C. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Yang. 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 John C. Yang. The network helps show where John C. Yang may publish in the future.

Co-authorship network of co-authors of John C. Yang

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

All Works

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9 of 9 papers shown

Plantinga, Theo S., Melissa D. Johnson, William K. Scott, et al.. (2012). Toll-like Receptor 1 Polymorphisms Increase Susceptibility to Candidemia. The Journal of Infectious Diseases. 205(6). 934–943. 112 indexed citations

Rosentul, Diana C., Theo S. Plantinga, Marije Oosting, et al.. (2011). Genetic Variation in the Dectin-1/CARD9 Recognition Pathway and Susceptibility to Candidemia. The Journal of Infectious Diseases. 204(7). 1138–1145. 62 indexed citations

Johnson, Melissa D., Theo S. Plantinga, Esther van de Vosse, et al.. (2011). Cytokine Gene Polymorphisms and the Outcome of Invasive Candidiasis: A Prospective Cohort Study. Clinical Infectious Diseases. 54(4). 502–510. 60 indexed citations

Blum, Amy Szuchmacher, James G. Kushmerick, David P. Long, et al.. (2005). Molecularly inherent voltage-controlled conductance switching. Nature Materials. 4(2). 167–172. 299 indexed citations

Blum, Amy Szuchmacher, James G. Kushmerick, Steven K. Pollack, et al.. (2004). Charge Transport and Scaling in Molecular Wires. The Journal of Physical Chemistry B. 108(47). 18124–18128. 57 indexed citations

Blum, Amy Szuchmacher, John C. Yang, R. Shashidhar, & Banahalli R. Ratna. (2003). Comparing the conductivity of molecular wires with the scanning tunneling microscope. Applied Physics Letters. 82(19). 3322–3324. 57 indexed citations

Kushmerick, James G., D. B. Holt, Steven K. Pollack, et al.. (2002). Effect of Bond-Length Alternation in Molecular Wires. Journal of the American Chemical Society. 124(36). 10654–10655. 266 indexed citations

Yang, John C., George Tomlinson, & Gary Naglie. (2001). Medication Lists for Elderly Patients. Clinic-Derived Versus In-Home Inspection and Interview. Journal of General Internal Medicine. 16(2). 112–115. 3 indexed citations

Yang, John C., George Tomlinson, & Gary Naglie. (2001). Medication lists for elderly patients. Journal of General Internal Medicine. 16(2). 112–115. 43 indexed citations

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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