Ming-Fan Law

2.4k total citations
21 papers, 2.1k citations indexed

About

Ming-Fan Law is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Ming-Fan Law has authored 21 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 11 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Ming-Fan Law's work include Virus-based gene therapy research (13 papers), Polyomavirus and related diseases (9 papers) and Bacteriophages and microbial interactions (5 papers). Ming-Fan Law is often cited by papers focused on Virus-based gene therapy research (13 papers), Polyomavirus and related diseases (9 papers) and Bacteriophages and microbial interactions (5 papers). Ming-Fan Law collaborates with scholars based in United States, Malaysia and Australia. Ming-Fan Law's co-authors include Peter M. Howley, Inder M. Verma, A. Dusty Miller, Israel Dvoretzky, Douglas R. Lowy, Mark A. Israel, Malcolm A. Martin, Nava Sarver, Linda W. Engel and George Khoury and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ming-Fan Law

21 papers receiving 1.8k citations

Peers

Ming-Fan Law

GENET

EPIDE

ONCOL

IMMUN

B A Spalholz United States

Richard D. Barry Australia

Florence Colbère-Garapin France

Gerald W. Both Australia

Israel Dvoretzky United States

W.L. McClements United States

Charles C. Randall United States

Padman S. Sarma United States

Albert S. Kaplan United States

Matilda Benyésh-Melnick United States

B A Spalholz United States

Ming-Fan Law

707 ×0.7

887 ×0.9

GENET

786 ×1.5

EPIDE

273 ×0.7

ONCOL

399 ×1.4

IMMUN

Citations per year, relative to Ming-Fan Law Ming-Fan Law (= 1×) peers B A Spalholz

Countries citing papers authored by Ming-Fan Law

Since Specialization

Citations

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

Fields of papers citing papers by Ming-Fan Law

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Fan Law. 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-Fan Law. The network helps show where Ming-Fan Law may publish in the future.

Co-authorship network of co-authors of Ming-Fan Law

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

All Works

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20 of 20 papers shown

Daugherty, Bruce L., Julie A. DeMartino, Ming-Fan Law, et al.. (1991). Polymerase chain reaction facilitates the cloning, CDRgrafting, and rapid expression of a murine monoclonal antibody directed against the CD18 component of leukocyte integrins. Nucleic Acids Research. 19(9). 2471–2476. 47 indexed citations

Miller, A. Dusty, Ming-Fan Law, & Inder M. Verma. (1985). Generation of Helper-Free Amphotropic Retroviruses That Transduce a Dominant-Acting, Methotrexate-Resistant Dihydrofolate Reductase Gene. Molecular and Cellular Biology. 5(3). 431–437. 127 indexed citations

Greenlee, John & Ming-Fan Law. (1985). Interaction of K papovavirus with hamster cells: Transformation of glial cellsin vitro but failure of the virus to produce central nervous system tumorsin vivo. Archives of Virology. 83(3-4). 207–215. 4 indexed citations

Miller, A. Dusty, Ming-Fan Law, & Inder M. Verma. (1985). Generation of helper-free amphotropic retroviruses that transduce a dominant-acting, methotrexate-resistant dihydrofolate reductase gene.. Molecular and Cellular Biology. 5(3). 431–437. 297 indexed citations

Greenlee, John & Ming-Fan Law. (1984). Persistent Infection and Transformation of Mouse Glial Cultures by K Virus, a Murine Papovavirus. Journal of General Virology. 65(7). 1253–1258. 3 indexed citations

Howley, Peter M., Nava Sarver, & Ming-Fan Law. (1983). [26] Eukaryotic cloning vectors derived from bovine papillomavirus DNA. Methods in enzymology on CD-ROM/Methods in enzymology. 101. 387–402. 42 indexed citations

Law, Ming-Fan, Janet C. Byrne, & Peter M. Howley. (1983). A Stable Bovine Papillomavirus Hybrid Plasmid That Expresses a Dominant Selective Trait. Molecular and Cellular Biology. 3(11). 2110–2115. 40 indexed citations

Law, Ming-Fan, J C Byrne, & Peter M. Howley. (1983). A stable bovine papillomavirus hybrid plasmid that expresses a dominant selective trait.. Molecular and Cellular Biology. 3(11). 2110–2115. 94 indexed citations

Law, Ming-Fan, Douglas R. Lowy, Israel Dvoretzky, & Peter M. Howley. (1981). Mouse cells transformed by bovine papillomavirus contain only extrachromosomal viral DNA sequences.. Proceedings of the National Academy of Sciences. 78(5). 2727–2731. 328 indexed citations

10.

Sarver, Nava, Peter Gruß, Ming-Fan Law, George Khoury, & Peter M. Howley. (1981). Bovine Papilloma Virus Deoxyribonucleic Acid: a Novel Eucaryotic Cloning Vector. Molecular and Cellular Biology. 1(6). 486–496. 50 indexed citations

11.

Sarver, Nava, et al.. (1981). Bovine papilloma virus deoxyribonucleic acid: a novel eucaryotic cloning vector.. Molecular and Cellular Biology. 1(6). 486–496. 129 indexed citations

12.

Howley, Peter M., Françoise Rentier‐Delrue, C A Heilman, et al.. (1980). Cloned human polyomavirus JC DNA can transform human amnion cells. Journal of Virology. 36(3). 878–882. 51 indexed citations

13.

Lowy, Douglas R., et al.. (1980). In vitro tumorigenic transformation by a defined sub-genomic fragment of bovine papilloma virus DNA. Nature. 287(5777). 72–74. 243 indexed citations

14.

Heilman, C A, Ming-Fan Law, Mark A. Israel, & Peter M. Howley. (1980). Cloning of human papilloma virus genomic DNAs and analysis of homologous polynucleotide sequences. Journal of Virology. 36(2). 395–407. 112 indexed citations

15.

Howley, Peter M., et al.. (1979). Identification of the primate papovavirus HD as the stump-tailed macaque virus. Journal of Virology. 30(1). 400–403. 9 indexed citations

16.

Law, Ming-Fan, K. K. Takemoto, & Peter M. Howley. (1979). Characterization of the genome of the murine papovavirus K. Journal of Virology. 30(1). 90–97. 8 indexed citations

17.

Law, Ming-Fan, W D Lancaster, & Peter M. Howley. (1979). Conserved polynucleotide sequences among the genomes of papillomaviruses. Journal of Virology. 32(1). 199–207. 77 indexed citations

18.

Law, Ming-Fan, Jonathan D. Martin, Kenneth K. Takemoto, & Peter M. Howley. (1979). The colinear alignment of the genomes of papovaviruses JC, BK, and SV40. Virology. 96(2). 576–587. 34 indexed citations

19.

Scher, B M, Ming-Fan Law, & Anthony J. Garro. (1978). Correlated genetic and EcoRI cleavage map of Bacillus subtilis bacteriophage phi105 DNA. Journal of Virology. 28(1). 395–402. 23 indexed citations

20.

Garro, Anthony J. & Ming-Fan Law. (1974). Relationship Between Lysogeny, Spontaneous Induction, and Transformation Efficiencies in Bacillus subtilis. Journal of Bacteriology. 120(3). 1256–1259. 34 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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