Richard N. Freiman

2.8k total citations
34 papers, 2.1k citations indexed

About

Richard N. Freiman is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Richard N. Freiman has authored 34 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Genetics and 10 papers in Reproductive Medicine. Recurrent topics in Richard N. Freiman's work include Reproductive Biology and Fertility (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers) and Renal and related cancers (6 papers). Richard N. Freiman is often cited by papers focused on Reproductive Biology and Fertility (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers) and Renal and related cancers (6 papers). Richard N. Freiman collaborates with scholars based in United States, Canada and Japan. Richard N. Freiman's co-authors include Robert Tjian, Winship Herr, Kathryn J. Grive, Jean M. Whaley, David W. Yandell, Richard Y. Chung, Anil G. Menon, Jennifer R. Ribeiro, Angus C. Wilson and Vincent M. Riccardi and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Richard N. Freiman

34 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard N. Freiman United States 24 1.2k 483 352 303 260 34 2.1k
Somayyeh Fahiminiya Canada 27 1.2k 1.0× 811 1.7× 165 0.5× 254 0.8× 95 0.4× 52 2.2k
Marco Barchi Italy 22 1.8k 1.5× 348 0.7× 286 0.8× 308 1.0× 266 1.0× 41 2.3k
Göran Levan Sweden 26 1.5k 1.2× 874 1.8× 127 0.4× 416 1.4× 55 0.2× 121 2.6k
Marco J. Koudijs Netherlands 23 1.4k 1.1× 401 0.8× 163 0.5× 491 1.6× 148 0.6× 45 2.3k
Irina Golovleva Sweden 25 927 0.7× 284 0.6× 419 1.2× 225 0.7× 55 0.2× 78 1.9k
Tang K. Tang Taiwan 33 2.1k 1.7× 690 1.4× 184 0.5× 309 1.0× 62 0.2× 81 3.2k
Christopher C. Oakes United States 27 1.7k 1.4× 344 0.7× 164 0.5× 252 0.8× 167 0.6× 67 2.5k
Yongjia Yu United States 23 918 0.7× 170 0.4× 210 0.6× 312 1.0× 105 0.4× 42 1.6k
Efi E. Massasa United States 14 1.2k 1.0× 248 0.5× 82 0.2× 397 1.3× 255 1.0× 15 2.4k
Małgorzata Bielińska United States 29 1.7k 1.4× 857 1.8× 245 0.7× 77 0.3× 324 1.2× 41 2.4k

Countries citing papers authored by Richard N. Freiman

Since Specialization
Citations

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

Fields of papers citing papers by Richard N. Freiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard N. Freiman. 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 Richard N. Freiman. The network helps show where Richard N. Freiman may publish in the future.

Co-authorship network of co-authors of Richard N. Freiman

This figure shows the co-authorship network connecting the top 25 collaborators of Richard N. Freiman. A scholar is included among the top collaborators of Richard N. Freiman 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 Richard N. Freiman. Richard N. Freiman 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.
Freiman, Richard N., et al.. (2023). Transcription and chromatin regulation by TAF4b during cellular quiescence of developing prospermatogonia. Frontiers in Cell and Developmental Biology. 11. 1270408–1270408. 3 indexed citations
2.
Wu, Tong, et al.. (2022). TAF4b transcription networks regulating early oocyte differentiation. Development. 149(3). 6 indexed citations
3.
4.
Sloutskin, Anna, et al.. (2021). The Core Promoter Is a Regulatory Hub for Developmental Gene Expression. Frontiers in Cell and Developmental Biology. 9. 666508–666508. 19 indexed citations
5.
Mikedis, Maria M., et al.. (2020). Dynamic and regulated TAF gene expression during mouse embryonic germ cell development. PLoS Genetics. 16(1). e1008515–e1008515. 16 indexed citations
6.
Grive, Kathryn J., Eric A. Gustafson, Melody Baddoo, et al.. (2016). TAF4b Regulates Oocyte-Specific Genes Essential for Meiosis. PLoS Genetics. 12(6). e1006128–e1006128. 26 indexed citations
7.
Brown, Caitlin W., Alexander S. Brodsky, & Richard N. Freiman. (2014). Notch3 Overexpression Promotes Anoikis Resistance in Epithelial Ovarian Cancer via Upregulation of COL4A2. Molecular Cancer Research. 13(1). 78–85. 44 indexed citations
8.
Grive, Kathryn J., et al.. (2014). TAF4b promotes mouse primordial follicle assembly and oocyte survival. Developmental Biology. 392(1). 42–51. 32 indexed citations
9.
Ribeiro, Jennifer R., et al.. (2014). Targeting TBP-Associated Factors in Ovarian Cancer. Frontiers in Oncology. 4. 45–45. 37 indexed citations
10.
Ribeiro, Jennifer R. & Richard N. Freiman. (2014). Estrogen signaling crosstalk: Implications for endocrine resistance in ovarian cancer. The Journal of Steroid Biochemistry and Molecular Biology. 143. 160–173. 44 indexed citations
11.
Hodgkinson, Kendra, et al.. (2013). Estrogen Responsiveness of the TFIID Subunit TAF4B in the Normal Mouse Ovary and in Ovarian Tumors1. Biology of Reproduction. 89(5). 116–116. 6 indexed citations
12.
Freiman, Richard N.. (2009). Specific variants of general transcription factors regulate germ cell development in diverse organisms. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1789(3). 161–166. 29 indexed citations
13.
O’Brien, Conan J O, et al.. (2009). Accelerated Ovarian Aging in the Absence of the Transcription Regulator TAF4B in Mice1. Biology of Reproduction. 82(1). 23–34. 26 indexed citations
14.
Voronina, Ekaterina, et al.. (2006). Ovarian granulosa cell survival and proliferation requires the gonad-selective TFIID subunit TAF4b. Developmental Biology. 303(2). 715–726. 53 indexed citations
15.
Freiman, Richard N., Kenneth G. Geles, Kirk Lo, et al.. (2005). Maintenance of spermatogenesis requires TAF4b, a gonad-specific subunit of TFIID. Genes & Development. 19(7). 794–803. 184 indexed citations
16.
Freiman, Richard N. & Robert Tjian. (2003). Regulating the Regulators. Cell. 112(1). 11–17. 205 indexed citations
17.
Freiman, Richard N., et al.. (2002). Redundant Role of Tissue-Selective TAF II 105 in B Lymphocytes. Molecular and Cellular Biology. 22(18). 6564–6572. 9 indexed citations
18.
Freiman, Richard N. & Winship Herr. (1997). Viral mimicry: common mode of association with HCF by VP16 and the cellular protein LZIP. Genes & Development. 11(23). 3122–3127. 116 indexed citations
19.
Wilson, Angus C., et al.. (1997). VP16 Targets an Amino-Terminal Domain of HCF Involved in Cell Cycle Progression. Molecular and Cellular Biology. 17(10). 6139–6146. 88 indexed citations
20.
Cooper, Dale A., et al.. (1992). The structure and complete nucleotide sequence of the avian lipoprotein lipase gene. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1129(2). 166–171. 28 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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