Daniel T.S. Pak

6.2k citations
70 papers · 5.1k · 1 hit paper · h-index 35

Impact in

Papers in

Daniel T.S. Pak

70 papers receiving 5.0k citations

Daniel T.S. Pak's Hit Papers

A transcriptionally active DNA-binding site for human p53 protein complexes. 1992 · 644 citations
6440+11+22Years since publication200400600

Peers

Daniel T.S. Pak
Comparison fields: 5 of 104
  • Developmental Neuroscience 426
  • Cellular and Molecular Neuroscience 1.9k
  • Cell Biology 857
  • Molecular Biology 3.1k
  • Neurology 298
Replace Stanislav S. Zakharenko with:
Stanislav S. Zakharenko United States
Raymond J. Kelleher United States
Vladimir L. Buchman United Kingdom
Grzegorz M. Wilczyński Poland
Jasvinder K. Atwal United States
Natalia Ninkina United Kingdom
Sandrine Humbert France
Naoyuki Inagaki Japan
Rebecca Matsas Greece
Dieter Edbauer Germany
Daniel T.S. Pak relative to Stanislav S. Zakharenko United States Stanislav S. Zakharenko's profile →
Citations per field
00.5×1.5×
Stanislav S. Zakharenko · 1×
Citations per year

Countries citing papers authored by Daniel T.S. Pak

Since Specialization
Citations

This map shows the geographic impact of Daniel T.S. Pak'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 T.S. Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T.S. Pak more than expected).

Fields of papers citing papers by Daniel T.S. Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T.S. Pak. 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 T.S. Pak. The network helps show where Daniel T.S. Pak may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel T.S. Pak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel T.S. Pak Line = papers co-authored together Daniel T.S. Pak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A transcriptionally active DNA-binding site for human p53 protein complexes.
Hit paper breakdown →
1992644
2 1997353
3 2001314
4 2000300
5 2003245
6 1992223
7 2005200
8 2008194
9 2009174
10 2005174
11 2011146
12 1995130
13 2012103
14 2010101
15 1998100
16 199999
17 200999
18 201181
19 201679
20 200573

About Daniel T.S. Pak

Daniel T.S. Pak is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cell Biology and Cognitive Neuroscience, having authored 70 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (47 papers), Alzheimer's disease research and treatments (16 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Mitochondrial Function and Pathology (8 papers), Cellular transport and secretion (6 papers), Neural dynamics and brain function (6 papers), Microtubule and mitosis dynamics (5 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). The work is most often cited by research in Developmental Neuroscience (426 citations), Cellular and Molecular Neuroscience (1.9k citations), Cell Biology (857 citations), Molecular Biology (3.1k citations) and Neurology (298 citations). Daniel T.S. Pak has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Morgan Sheng, Richard H. Karas, Jerry W. Shay, Walter D. Funk, Woodring E. Wright, Michael R. Botchan, Hyang‐Sook Hoe, So‐Young Yang, Daniel P. Seeburg and Eunjoon Kim. Their work appears in journals such as Journal of Neuroscience, Neuron, Journal of Neurochemistry, Neuroscience and The FASEB Journal.

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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