M.H. Skolnick
- Genetics top 2%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Lisa Cannon‐AlbrightDouglas F. EastonH.F. WillardL.A. MenloveDavid E. GoldgarWilliam P. McWhorterJ.-L. MandelP. Pearson
- Topics
- BRCA gene mutations in cancer (6 papers)Genetic Associations and Epidemiology (3 papers)Genomic variations and chromosomal abnormalities (3 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
M.H. Skolnick
20 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Genetics 824
- Molecular Biology 558
- Pathology and Forensic Medicine 413
- Oncology 401
- Cancer Research 255
Countries citing papers authored by M.H. Skolnick
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 21 | |
| 3 | 10 | |
| 4 | 57 | |
| 5 | Penetrance and expressivity of the chromosome 9p melanoma susceptibility locus (MLM). | 62 |
| 6 | 76 | |
| 7 | Systematic Population-Based Assessment of Cancer Risk in First-Degree Relatives of Cancer Probandsbreakdown → | 764 |
| 8 | Familiality of cancer in Utah. | 157 |
| 9 | 4 | |
| 10 | 50 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 74 | |
| 14 | 1 | |
| 15 | 247 | |
| 16 | DNA sequence polymorphism at arbitrary loci. | 1 |
| 17 | 26 | |
| 18 | 33 | |
| 19 | 4 | |
| 20 | Conference on Methods of Automatic Family Reconstitution : Florence, Italy, April 4-6, 1977 | 1 |
About M.H. Skolnick
M.H. Skolnick is a scholar working on Genetics, Genetics and Hematology, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (6 papers), Genetic Associations and Epidemiology (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Genetics (824 citations), Pathology and Forensic Medicine (413 citations) and Cancer Research (255 citations). M.H. Skolnick has collaborated with scholars based in United States, Italy and Germany. Frequent 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. Their work appears in journals such as Blood, JNCI Journal of the National Cancer Institute and Human Molecular Genetics.
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.