Marc Valentine
Impact in
Papers in
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- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
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- Sarcoma Diagnosis and Treatment 5
- Co-authors
- Leonard Petrucelli (1 shared paper)Fen‐Biao Gao (1 shared paper)Brian D. Freibaum (1 shared paper)Nam Chul Kim (1 shared paper)J. Paul Taylor (1 shared paper)Sandra Almeida (1 shared paper)Yubing Lu (1 shared paper)Bruce L. Miller (1 shared paper)
- Journals
- Genes Chromosomes and Cancer (3 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)British Journal of Cancer (1 paper)Developmental Dynamics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Marc Valentine
30 papers receiving 1.7k citations
Marc Valentine's Hit Papers
Peers
Comparison fields: 5 of 90
- Neurology 526
- Genetics 321
- Molecular Biology 932
- Endocrinology, Diabetes and Metabolism 188
- Pathology and Forensic Medicine 192
Countries citing papers authored by Marc Valentine
This map shows the geographic impact of Marc Valentine'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 Marc Valentine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Valentine more than expected).
Fields of papers citing papers by Marc Valentine
This network shows the impact of papers produced by Marc Valentine. 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 Marc Valentine. The network helps show where Marc Valentine may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Valentine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GGGGCC repeat expansion in C9orf72 compromises nucleocytoplasmic transport Hit paper breakdown → | 2015 | 600 |
| 2 | 1994 | 188 | |
| 3 | 1995 | 133 | |
| 4 | 1991 | 65 | |
| 5 | 1990 | 62 | |
| 6 | 2019 | 62 | |
| 7 | 1993 | 59 | |
| 8 | 2018 | 59 | |
| 9 | 2007 | 57 | |
| 10 | 2012 | 54 | |
| 11 | 1995 | 42 | |
| 12 | 2017 | 39 | |
| 13 | 2017 | 35 | |
| 14 | 1990 | 34 | |
| 15 | 1986 | 34 | |
| 16 | 1993 | 33 | |
| 17 | His-1 and His-2: identification and chromosomal mapping of two commonly rearranged sites of viral integration in a myeloid leukemia. | 1991 | 31 |
| 18 | 1989 | 27 | |
| 19 | 2009 | 19 | |
| 20 | 1992 | 16 |
About Marc Valentine
Marc Valentine is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Genetics and Neurology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), Tumors and Oncological Cases (4 papers), Neuroblastoma Research and Treatments (4 papers), Acute Myeloid Leukemia Research (2 papers), Virus-based gene therapy research (2 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Neurology (526 citations), Genetics (321 citations), Molecular Biology (932 citations), Endocrinology, Diabetes and Metabolism (188 citations) and Pathology and Forensic Medicine (192 citations). Marc Valentine has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Leonard Petrucelli, Fen‐Biao Gao, Brian D. Freibaum, Nam Chul Kim, J. Paul Taylor, Sandra Almeida, Yubing Lu, Bruce L. Miller, Hong Joo Kim and Nisha M. Badders. Their work appears in journals such as Genes Chromosomes and Cancer, The Journal of Clinical Endocrinology & Metabolism, British Journal of Cancer, Developmental Dynamics and Scientific Reports.
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.