Daniel T.S. Pak

69 papers receiving 5.0k citations

Daniel T.S. Pak's Hit Papers

A transcriptionally active DNA-binding site for human p53 protein complexes. 1992 · 640 citations
6400+11+22Years since publication200400600

Peers

Daniel T.S. Pak
Comparison fields: 5 of 108
  • Cellular and Molecular Neuroscience 1.9k
  • Developmental Neuroscience 344
  • Cell Biology 881
  • Molecular Biology 3.1k
  • Oncology 907
Replace Raymond J. Kelleher with:
Raymond J. Kelleher United States
Vladimir L. Buchman United Kingdom
Rebecca Matsas Greece
Horacio Uri Saragovi Canada
Ralf B. KLEENE Germany
Jasvinder K. Atwal United States
Naoyuki Inagaki Japan
Shernaz X. Bamji Canada
Peter R. Maycox United Kingdom
Edward D. Lamperti United States
Daniel T.S. Pak relative to Raymond J. Kelleher United States Raymond J. Kelleher's profile →
Citations per field
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Raymond J. Kelleher · 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 →
1992640
2 2001338
3 1997334
4 2000316
5 2003268
6 1992210
7 2005205
8 2008202
9 2009180
10 2005176
11 1995127
12 2012107
13 2010105
14 1999100
15 2009100
16 199895
17 201189
18 201681
19 200577
20 200771

About Daniel T.S. Pak

Daniel T.S. Pak is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Cell Biology, Physiology and Molecular Biology, having authored 70 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (46 papers), Alzheimer's disease research and treatments (16 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Mitochondrial Function and Pathology (8 papers), Neural dynamics and brain function (6 papers), Cellular transport and secretion (6 papers), Memory and Neural Mechanisms (5 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Developmental Neuroscience (344 citations), Cell Biology (881 citations), Molecular Biology (3.1k citations) and Oncology (907 citations). Daniel T.S. Pak has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Morgan Sheng, Jerry W. Shay, Woodring Erik Wright, Walter D. Funk, Richard H. Karas, Michael R. Botchan, Hyang‐Sook Hoe, Eunjoon Kim, So‐Young Yang and Daniel P. Seeburg. Their work appears in journals such as Neuron, Journal of Neuroscience, Journal of Neurochemistry, Neuroscience and Biochemical and Biophysical Research Communications.

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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