Michael F. Seldin
- Immunology top 0.5%
- T-cell and B-cell Immunology 29
- Immune Cell Function and Interaction 14
- Genetics top 0.2%
- Genetic Associations and Epidemiology 32
- Genetic Mapping and Diversity in Plants and Animals 16
- Animal Genetics and Reproduction 14
- Rheumatology top 0.2%
- Systemic Lupus Erythematosus Research 29
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics 31
- Glycosylation and Glycoproteins Research 14
- Cancer Research top 1%
- Co-authors
- Peter K. GregersenMakoto M. TaketoClifford G. TepperLindsey A. CriswellRonald W. DeBryRichard S. SurwitJulie M. RochelleCorinne Lévi-Meyrueis
- Cited by
- ImmunologyGeneticsRheumatology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Michael F. Seldin
281 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Immunology 4.0k
- Genetics 4.0k
- Rheumatology 2.1k
- Molecular Biology 8.3k
- Cancer Research 1.6k
Countries citing papers authored by Michael F. Seldin
This map shows the geographic impact of Michael F. Seldin'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 Michael F. Seldin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael F. Seldin more than expected).
Fields of papers citing papers by Michael F. Seldin
This network shows the impact of papers produced by Michael F. Seldin. 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 Michael F. Seldin. The network helps show where Michael F. Seldin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael F. Seldin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 27 | |
| 2 | 2011 | 30 | |
| 3 | 2011 | 8 | |
| 4 | 2009 | 19 | |
| 5 | 2008 | 278 | |
| 6 | 2004 | 72 | |
| 7 | 2004 | 83 | |
| 8 | 2001 | 63 | |
| 9 | 1999 | 1 | |
| 10 | 1997 | 6 | |
| 11 | Mouse Sin3A interacts with and can functionally substitute for the amino-terminal repression of the Myc antagonist Mxi1. | 1996 | 36 |
| 12 | 1996 | 34 | |
| 13 | 1995 | 83 | |
| 14 | 1995 | 53 | |
| 15 | 1994 | 29 | |
| 16 | 1994 | 124 | |
| 17 | 1992 | 298 | |
| 18 | 1990 | 82 | |
| 19 | 1989 | 53 | |
| 20 | 1978 | 32 |
About Michael F. Seldin
Michael F. Seldin is a scholar working on Genetics, Immunology and Rheumatology, having authored 281 papers that have together received 17.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (32 papers), Genomics and Chromatin Dynamics (31 papers), Systemic Lupus Erythematosus Research (29 papers), T-cell and B-cell Immunology (29 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Glycosylation and Glycoproteins Research (14 papers), Animal Genetics and Reproduction (14 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Immunology (4.0k citations), Genetics (4.0k citations) and Rheumatology (2.1k citations). Michael F. Seldin has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Peter K. Gregersen, Makoto M. Taketo, Clifford G. Tepper, Lindsey A. Criswell, Ronald W. DeBry, Richard S. Surwit, Julie M. Rochelle, Corinne Lévi-Meyrueis, Serge Raimbault and Daniel Ricquier. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.