M.H. Skolnick

2.4k total citations · 1 hit paper
22 papers, 1.8k citations indexed

About

M.H. Skolnick is a scholar working on Genetics, Molecular Biology and Genetics. According to data from OpenAlex, M.H. Skolnick has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in M.H. Skolnick's work include BRCA gene mutations in cancer (6 papers), Genetic Associations and Epidemiology (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). M.H. Skolnick is often cited by papers focused on BRCA gene mutations in cancer (6 papers), Genetic Associations and Epidemiology (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). M.H. Skolnick collaborates with scholars based in United States, Italy and Germany. M.H. Skolnick's co-authors include Lisa Cannon‐Albright, Douglas F. Easton, H.F. Willard, L.A. Menlove, David E. Goldgar, William P. McWhorter, J.-L. Mandel, P. Pearson, Alun Thomas and D. C. Rao and has published in prestigious journals such as Blood, JNCI Journal of the National Cancer Institute and Human Molecular Genetics.

In The Last Decade

M.H. Skolnick

20 papers receiving 1.7k citations

Hit Papers

Systematic Population-Based Assessment of Cancer Risk in ... 1994 2026 2004 2015 1994 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.H. Skolnick United States 14 824 558 413 401 255 22 1.8k
Carole Oddoux United States 22 501 0.6× 705 1.3× 460 1.1× 486 1.2× 242 0.9× 36 1.7k
B A Ponder United Kingdom 25 1.3k 1.6× 1.1k 1.9× 444 1.1× 745 1.9× 483 1.9× 39 2.7k
Walter W. Noll United States 21 507 0.6× 770 1.4× 119 0.3× 438 1.1× 236 0.9× 43 2.0k
Marjan M. Weiss Netherlands 29 992 1.2× 1.0k 1.8× 715 1.7× 456 1.1× 737 2.9× 87 2.9k
Hagay Sobol France 33 1.5k 1.8× 859 1.5× 647 1.6× 733 1.8× 713 2.8× 113 2.8k
Treena Cranston United Kingdom 22 419 0.5× 477 0.9× 163 0.4× 442 1.1× 146 0.6× 45 1.8k
Lone Sunde Denmark 30 795 1.0× 619 1.1× 771 1.9× 531 1.3× 489 1.9× 117 2.6k
Ingrid Idvall Sweden 24 775 0.9× 455 0.8× 586 1.4× 591 1.5× 822 3.2× 53 1.8k
Anne Dørum Norway 24 865 1.0× 332 0.6× 280 0.7× 553 1.4× 265 1.0× 71 1.8k
Michael Bremer Germany 24 348 0.4× 487 0.9× 196 0.5× 338 0.8× 293 1.1× 59 1.4k

Countries citing papers authored by M.H. Skolnick

Since Specialization
Citations

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

Fields of papers citing papers by M.H. Skolnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.H. Skolnick

This figure shows the co-authorship network connecting the top 25 collaborators of M.H. Skolnick. A scholar is included among the top collaborators of M.H. Skolnick 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.H. Skolnick. M.H. Skolnick 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.
Filigheddu, Fabiana, et al.. (2004). Genetic polymorphisms of the β-adrenergic system: association with essential hypertension and response to β-blockade. The Pharmacogenomics Journal. 4(3). 154–160. 46 indexed citations
2.
Fujiwara, Hiromichi, M. Emi, Hisaki Nagai, et al.. (2002). Association of common missense changes in ELAC2 (HPC2) with prostate cancer in a Japanese case–control series. Journal of Human Genetics. 47(12). 641–648. 21 indexed citations
4.
Neuhausen, Susan L., James M. Farnham, Edward N. Kort, et al.. (1999). Prostate Cancer Susceptibility Locus HPC1 in Utah High-Risk Pedigrees. Human Molecular Genetics. 8(13). 2437–2442. 57 indexed citations
5.
Cannon‐Albright, Lisa, Laurence J. Meyer, Cathryn M. Lewis, et al.. (1994). Penetrance and expressivity of the chromosome 9p melanoma susceptibility locus (MLM).. PubMed. 54(23). 6041–4. 62 indexed citations
6.
Goldgar, David E., Patrick E. Fields, Cathryn M. Lewis, et al.. (1994). A Large Kindred With 17q-Linked Breast and Ovarian Cancer: Genetic, Phenotypic, and Genealogical Analysis. JNCI Journal of the National Cancer Institute. 86(3). 200–209. 76 indexed citations
7.
Easton, Douglas F., et al.. (1994). Systematic Population-Based Assessment of Cancer Risk in First-Degree Relatives of Cancer Probands. JNCI Journal of the National Cancer Institute. 86(21). 1600–1608. 764 indexed citations breakdown →
8.
Cannon‐Albright, Lisa, et al.. (1994). Familiality of cancer in Utah.. PubMed. 54(9). 2378–85. 157 indexed citations
9.
Prokosch, Hans‐Ulrich, Susanne A. Seuchter, E. A. Thompson, & M.H. Skolnick. (1989). Applying expert system techniques to human genetics. Computers and Biomedical Research. 22(3). 234–247. 4 indexed citations
10.
Bishop, D. Timothy, et al.. (1988). Segregation and linkage analysis of nine Utah breast cancer pedigrees. Genetic Epidemiology. 5(3). 151–169. 50 indexed citations
11.
Bishop, D. Timothy, et al.. (1986). Strategies for efficient linkage analysis: Example of Huntington's disease pedigrees. Genetic Epidemiology. 3(S1). 217–222. 2 indexed citations
12.
Bishop, D. Timothy, et al.. (1986). Segregation and linkage analysis of breast cancer in the Dutch and Utah families. Genetic Epidemiology. 3(S1). 43–48. 10 indexed citations
13.
Willard, H.F., M.H. Skolnick, P. Pearson, & J.-L. Mandel. (1985). Report of the Committee on Human Gene Mapping by Recombinant DNA Techniques (Part 1 of 5). Cytogenetic and Genome Research. 40(1-4). 360–385. 74 indexed citations
14.
Willard, H.F., M.H. Skolnick, P. Pearson, & J.-L. Mandel. (1985). Report of the Committee on Human Gene Mapping by Recombinant DNA Techniques (Part 5 of 5). Cytogenetic and Genome Research. 40(1-4). 465–489. 1 indexed citations
15.
Skolnick, M.H., H.F. Willard, & L.A. Menlove. (1984). Report of the committee on human gene mapping by recombinant DNA techniques. Cytogenetic and Genome Research. 37(1-4). 210–273. 247 indexed citations
16.
Schafer, Millie P., et al.. (1982). DNA sequence polymorphism at arbitrary loci.. PubMed. 103 Pt A. 67–77. 1 indexed citations
17.
Skolnick, M.H., et al.. (1982). Report of the committee on human gene mapping by recombinant DNA techniques. Cytogenetic and Genome Research. 32(1-4). 194–204. 26 indexed citations
18.
Skolnick, M.H., et al.. (1981). Coincidental nontransfusional iron overload and thalassemia minor: association with HLA-linked hemochromatosis. Blood. 58(4). 844–848. 33 indexed citations
19.
Skolnick, M.H., et al.. (1981). Coincidental nontransfusional iron overload and thalassemia minor: association with HLA-linked hemochromatosis. Blood. 58(4). 844–848. 4 indexed citations
20.
Skolnick, M.H., et al.. (1978). Conference on Methods of Automatic Family Reconstitution : Florence, Italy, April 4-6, 1977. Medical Entomology and Zoology. 1 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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