M.W. Feldman

4.9k total citations · 3 hit papers
30 papers, 3.2k citations indexed

About

M.W. Feldman is a scholar working on Genetics, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, M.W. Feldman has authored 30 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Sociology and Political Science. Recurrent topics in M.W. Feldman's work include Genetic diversity and population structure (8 papers), Evolution and Genetic Dynamics (7 papers) and Genetic and phenotypic traits in livestock (5 papers). M.W. Feldman is often cited by papers focused on Genetic diversity and population structure (8 papers), Evolution and Genetic Dynamics (7 papers) and Genetic and phenotypic traits in livestock (5 papers). M.W. Feldman collaborates with scholars based in United States, Israel and United Kingdom. M.W. Feldman's co-authors include L. L. Cavalli‐Sforza, David B. Goldstein, Jonathan K. Pritchard, Anna Pérez-Lezaun, Mark Seielstad, Kevin N. Laland, Lev A. Zhivotovsky, Armin P. Moczek, Tobias Uller and Dolph Schluter and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

M.W. Feldman

29 papers receiving 2.9k citations

Hit Papers

An evaluation of genetic distances for use with microsate... 1995 2026 2005 2015 1995 1999 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.W. Feldman United States 19 1.7k 628 416 387 343 30 3.2k
Cedric A. B. Smith United Kingdom 32 1.8k 1.1× 779 1.2× 179 0.4× 351 0.9× 455 1.3× 110 4.3k
David Welch New Zealand 27 431 0.3× 570 0.9× 212 0.5× 279 0.7× 174 0.5× 72 3.2k
Guido Barbujani Italy 41 3.3k 2.0× 1.1k 1.7× 193 0.5× 309 0.8× 218 0.6× 145 5.7k
Patsy Haccou Netherlands 23 697 0.4× 370 0.6× 257 0.6× 314 0.8× 652 1.9× 64 2.1k
M. G. Bulmer United Kingdom 19 1.7k 1.0× 345 0.5× 314 0.8× 190 0.5× 374 1.1× 36 4.1k
L. Luca Cavalli-Sforza United States 36 5.5k 3.2× 1.5k 2.3× 621 1.5× 391 1.0× 432 1.3× 72 8.7k
Daniel J. Lawson United Kingdom 21 2.0k 1.2× 764 1.2× 102 0.2× 332 0.9× 225 0.7× 59 3.1k
Ashwin Narayan Jayanarayanan India 8 2.4k 1.4× 688 1.1× 572 1.4× 363 0.9× 627 1.8× 11 3.8k
J. B. S. Haldane United Kingdom 28 2.1k 1.2× 726 1.2× 631 1.5× 533 1.4× 995 2.9× 93 4.0k
Lev A. Zhivotovsky Russia 37 5.1k 3.0× 1.6k 2.6× 234 0.6× 584 1.5× 637 1.9× 125 7.2k

Countries citing papers authored by M.W. Feldman

Since Specialization
Citations

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

Fields of papers citing papers by M.W. Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.W. Feldman. 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 M.W. Feldman. The network helps show where M.W. Feldman may publish in the future.

Co-authorship network of co-authors of M.W. Feldman

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

All Works

20 of 20 papers shown
1.
Feldman, M.W.. (2012). Migration and HIV Transmission Risk under Gender Imbalance:A Meta-analysis. Renkou yu jingji. 1 indexed citations
2.
Liu, Huijun, Shuzhuo Li, & M.W. Feldman. (2012). Gender in Marriage and Life Satisfaction Under Gender Imbalance in China: The Role of Intergenerational Support and SES. Social Indicators Research. 114(3). 915–933. 32 indexed citations
3.
Henn, Brenna M., et al.. (2008). Characterizing the Time Dependency of Human Mitochondrial DNA Mutation Rate Estimates. Molecular Biology and Evolution. 26(1). 217–230. 99 indexed citations
4.
Blum, S., Hans H. Cheng, Alain Vignal, et al.. (2007). Female-Specific DNA Sequences in the Chicken Genome. Journal of Heredity. 98(3). 238–242. 10 indexed citations
5.
Weigend, Steffen, S. Blum, M.W. Feldman, et al.. (2007). Biodiversity of 20 chicken breeds assessed by SNPs located in gene regions. Cytogenetic and Genome Research. 117(1-4). 319–326. 20 indexed citations
6.
Hillel, J., Danny Ben‐Avraham, S. Blum, et al.. (2007). Molecular markers for the assessment of chicken biodiversity. World s Poultry Science Journal. 63(1). 33–45. 21 indexed citations
7.
Buchman, Timothy G., Jonathan Dushoff, Paul R. Ehrlich, et al.. (2006). Battling bad behavior. 20(2). 51–57. 2 indexed citations
8.
Hadany, Lilach & M.W. Feldman. (2005). Evolutionary traction: the cost of adaptation and the evolution of sex. Journal of Evolutionary Biology. 18(2). 309–314. 35 indexed citations
9.
Feldman, M.W. & Kevin N. Laland. (1996). Gene-culture coevolutionary theory. Trends in Ecology & Evolution. 11(11). 453–457. 242 indexed citations
10.
Goldstein, David B., et al.. (1995). An evaluation of genetic distances for use with microsatellite loci.. Genetics. 139(1). 463–471. 803 indexed citations breakdown →
11.
Zhivotovsky, Lev A. & M.W. Feldman. (1995). The Reduction Principle for Recombination Under Density-Dependent Selection. Theoretical Population Biology. 47(2). 244–256. 3 indexed citations
12.
Goldstein, David B., M.W. Feldman, & L. Luca Cavalli-Sforza. (1994). An evaluation of genetic distance for use with microsatellite loci. The American Journal of Human Genetics. 55. 6 indexed citations
13.
Kumm, Jochen, Kevin N. Laland, & M.W. Feldman. (1994). Gene-Culture Coevolution and Sex-Ratios: The Effects of Infanticide, Sex-Selective Abortion, Sex Selection, and Sex-Biased Parental Investment on the Evolution of Sex Ratios. Theoretical Population Biology. 46(3). 249–278. 35 indexed citations
14.
Goldstein, David B., Aviv Bergman, & M.W. Feldman. (1993). The Evolution of Interference: Reduction of Recombination among Three Loci. Theoretical Population Biology. 44(2). 246–259. 10 indexed citations
15.
Liberman, Uri & M.W. Feldman. (1993). Recombination Modification with X-Linked Characters. Theoretical Population Biology. 44(2). 225–245. 4 indexed citations
16.
Zhivotovsky, Lev A. & M.W. Feldman. (1992). On models of quantitative genetic variability: a stabilizing selection-balance model.. Genetics. 130(4). 947–955. 19 indexed citations
17.
Aoki, Kana & M.W. Feldman. (1987). Toward a theory for the evolution of cultural communication: coevolution of signal transmission and reception.. Proceedings of the National Academy of Sciences. 84(20). 7164–7168. 40 indexed citations
18.
Price, R. Arlen, Kuang‐Ho Chen, L. L. Cavalli‐Sforza, & M.W. Feldman. (1981). Models of spouse influence and their application to smoking behavior. Biodemography and Social Biology. 28(1-2). 14–29. 19 indexed citations
19.
Feldman, M.W.. (1970). Some topics in theoretical population genetics.. 30.
20.
Feldman, M.W., Markus Nabholz, & Walter F. Bodmer. (1969). Evolution of the Rh polymorphism: a model for the interaction of incompatibility, reproductive compensation, and heterozygote advantage.. PubMed. 21(2). 171–93. 36 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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