Ming C. Wang

945 total citations
10 papers, 753 citations indexed

About

Ming C. Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Ming C. Wang has authored 10 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Ming C. Wang's work include Advanced Statistical Methods and Models (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Prostate Cancer Treatment and Research (2 papers). Ming C. Wang is often cited by papers focused on Advanced Statistical Methods and Models (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Prostate Cancer Treatment and Research (2 papers). Ming C. Wang collaborates with scholars based in United States. Ming C. Wang's co-authors include Gerald P. Murphy, T. Ming Chu, Mehrdad Nadji, Seyed Ziaeddin Tabei, Azorides R. Morales, Albert Castro, T. Ming Chu, Rueyming Loor, Luis Valenzuela and Alexander Bloch and has published in prestigious journals such as Cancer, Biochemical and Biophysical Research Communications and Journal of Investigative Dermatology.

In The Last Decade

Ming C. Wang

10 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming C. Wang United States	8	408	233	166	106	99	10	753
Wang Mc United States	10	373 0.9×	181 0.8×	103 0.6×	105 1.0×	97 1.0×	18	658
Chu Tm United States	13	429 1.1×	266 1.1×	107 0.6×	113 1.1×	165 1.7×	32	825
J. Leinonen Finland	11	481 1.2×	185 0.8×	109 0.7×	183 1.7×	157 1.6×	20	770
Andrew Sherrod United States	13	257 0.6×	331 1.4×	99 0.6×	125 1.2×	529 5.3×	21	1.0k
Katherine A. Shackelford United States	8	353 0.9×	303 1.3×	104 0.6×	47 0.4×	363 3.7×	10	741
S. Pomer Germany	13	353 0.9×	326 1.4×	44 0.3×	159 1.5×	147 1.5×	51	722
Manuel de la Torre Sweden	18	259 0.6×	328 1.4×	91 0.5×	322 3.0×	282 2.8×	47	936
Marie O’Donnell United Kingdom	13	385 0.9×	474 2.0×	42 0.3×	106 1.0×	104 1.1×	38	828
Edith Huland Germany	25	851 2.1×	281 1.2×	217 1.3×	447 4.2×	392 4.0×	90	1.6k
Lillian L. Habeck United States	10	467 1.1×	421 1.8×	131 0.8×	61 0.6×	461 4.7×	16	983

Countries citing papers authored by Ming C. Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ming C. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming C. Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Wang, Ming C.. (1990). On Ranges of Confidence Coefficients for Confidence Intervals on Variance Components. Communications in Statistics - Simulation and Computation. 19(4). 1165–1178. 5 indexed citations

2.

Wang, Ming C.. (1990). On Ranges of Confidence Coefficients for Confidence Intervals on Variance Components. Communications in Statistics - Simulation and Computation. 19(4). 1165–1178. 5 indexed citations

3.

Wang, Ming C., et al.. (1984). The proteolytic activity of human prostate-specific antigen. Biochemical and Biophysical Research Communications. 123(2). 482–488. 81 indexed citations

4.

Wang, Ming C., et al.. (1984). Immunologic Markers and the Diagnosis of Prostatic Cancer. Urologic Clinics of North America. 11(2). 269–276. 9 indexed citations

5.

Wang, Ming C., Luis Valenzuela, Gerald P. Murphy, & Ming Chu. (1982). A Simplified Purification Procedure for Human Prostate Antigen. Oncology. 39(1). 1–5. 59 indexed citations

6.

Nadji, Mehrdad, Seyed Ziaeddin Tabei, Albert Castro, et al.. (1981). Prostatic-specific antigen: An immunohistologic marker for prostatic neoplasms. Cancer. 48(5). 1229–1232. 294 indexed citations

7.

Kuriyama, Manabu, Ming C. Wang, Ching‐Li Lee, et al.. (1981). Use of human prostate-specific antigen in monitoring prostate cancer.. PubMed. 41(10). 3874–6. 147 indexed citations

8.

Loor, Rueyming, Ming C. Wang, Luis Valenzuela, & T. Ming Chu. (1981). Expression of prostatic acid phosphatase in human prostate cancer. Cancer Letters. 14(1). 63–69. 41 indexed citations

9.

McPartland, Richard P., Ming C. Wang, Alexander Bloch, & Herbert Weinfeld. (1974). Cytidine 5'-triphosphate synthetase as a target for inhibition by the antitumor agent 3-deazauridine.. PubMed. 34(11). 3107–11. 91 indexed citations

10.

Malkinson, Frederick D., et al.. (1957). Percutaneous Absorption of Cortisone -4-C14 Through Normal Human Skin*. Journal of Investigative Dermatology. 28(3). 211–216. 21 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.

Explore authors with similar magnitude of impact