Daniel M. Scolnick

1.7k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Daniel M. Scolnick is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Daniel M. Scolnick has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Daniel M. Scolnick's work include Cancer-related Molecular Pathways (6 papers), Microtubule and mitosis dynamics (4 papers) and Ubiquitin and proteasome pathways (4 papers). Daniel M. Scolnick is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Microtubule and mitosis dynamics (4 papers) and Ubiquitin and proteasome pathways (4 papers). Daniel M. Scolnick collaborates with scholars based in United States and Greece. Daniel M. Scolnick's co-authors include Thanos D. Halazonetis, Shelley L. Berger, Raymond C. Trievel, Ronen Marmorstein, Lin Liu, Elena S. Stavridi, John Bothos, Reyes Candau, Carol Y. Ying and Matthew K. Summers and has published in prestigious journals such as Nature, Molecular and Cellular Biology and Biochemistry.

In The Last Decade

Daniel M. Scolnick

8 papers receiving 1.4k citations

Hit Papers

p53 Sites Acetylated In Vitro by PCAF and p300 Are Acetyl... 1999 2026 2008 2017 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Scolnick United States 8 1.2k 689 236 144 89 8 1.4k
W Meikrantz United States 8 872 0.7× 542 0.8× 153 0.6× 128 0.9× 63 0.7× 10 1.2k
Ashley Craig United Kingdom 17 794 0.7× 477 0.7× 214 0.9× 179 1.2× 71 0.8× 23 1.2k
Richard A. Woo Canada 10 674 0.6× 454 0.7× 165 0.7× 153 1.1× 47 0.5× 11 893
Zhi-Xiong Jim Xiao United States 11 1.1k 0.9× 812 1.2× 112 0.5× 185 1.3× 75 0.8× 12 1.3k
Steven J. Berberich United States 20 1.1k 0.9× 722 1.0× 121 0.5× 260 1.8× 62 0.7× 32 1.3k
Dov Schwartz Israel 17 916 0.8× 769 1.1× 81 0.3× 152 1.1× 109 1.2× 22 1.3k
Aiwen Jin United States 15 2.0k 1.6× 1.2k 1.8× 139 0.6× 308 2.1× 103 1.2× 24 2.3k
Eleonora Lapi Spain 11 759 0.6× 396 0.6× 491 2.1× 109 0.8× 39 0.4× 14 1.1k
Michael S. Serfas United States 13 648 0.5× 440 0.6× 73 0.3× 126 0.9× 165 1.9× 13 985
Daniel Y.L. Mao Canada 17 1.2k 1.0× 374 0.5× 203 0.9× 154 1.1× 74 0.8× 21 1.4k

Countries citing papers authored by Daniel M. Scolnick

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Scolnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Scolnick

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Scolnick. A scholar is included among the top collaborators of Daniel M. Scolnick 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 Daniel M. Scolnick. Daniel M. Scolnick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Bothos, John, Matthew K. Summers, Monica Venere, Daniel M. Scolnick, & Thanos D. Halazonetis. (2003). The Chfr mitotic checkpoint protein functions with Ubc13-Mms2 to form Lys63-linked polyubiquitin chains. Oncogene. 22(46). 7101–7107. 80 indexed citations
2.
Mariatos, George, John Bothos, Panayotis Zacharatos, et al.. (2003). Inactivating mutations targeting the chfr mitotic checkpoint gene in human lung cancer.. PubMed. 63(21). 7185–9. 40 indexed citations
3.
Stavridi, Elena S., Yentram Huyen, Daniel M. Scolnick, et al.. (2002). Crystal Structure of the FHA Domain of the Chfr Mitotic Checkpoint Protein and Its Complex with Tungstate. Structure. 10(7). 891–899. 40 indexed citations
4.
Scolnick, Daniel M. & Thanos D. Halazonetis. (2000). Chfr defines a mitotic stress checkpoint that delays entry into metaphase. Nature. 406(6794). 430–435. 315 indexed citations
5.
Liu, Lin, Daniel M. Scolnick, Raymond C. Trievel, et al.. (1999). p53 Sites Acetylated In Vitro by PCAF and p300 Are Acetylated In Vivo in Response to DNA Damage. Molecular and Cellular Biology. 19(2). 1202–1209. 638 indexed citations breakdown →
6.
Candau, Reyes, et al.. (1997). Two tandem and independent sub-activation domains in the amino terminus of p53 require the adaptor complex for activity. Oncogene. 15(7). 807–816. 123 indexed citations
7.
Scolnick, Daniel M., Nabil Chehab, Elena S. Stavridi, et al.. (1997). CREB-binding protein and p300/CBP-associated factor are transcriptional coactivators of the p53 tumor suppressor protein.. PubMed. 57(17). 3693–6. 150 indexed citations
8.
Schlegel, Brian P., John E. Pawlowski, Yuefei Hu, et al.. (1994). Secosteroid Mechanism-Based Inactivators and Site-Directed Mutagenesis as Probes for Steroid Hormone Recognition by 3.alpha.-Hydroxysteroid Dehydrogenase. Biochemistry. 33(34). 10367–10374. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026