Daniel J. Driscoll

10.9k citations
104 papers · 6.8k indexed · 1 hit paper · h-index 38

Daniel J. Driscoll

102 papers receiving 6.6k citations

Hit Papers

Prader-Willi syndrome201220262016202120122505007501000

Peers

Daniel J. Driscoll
Comparison fields: 5 of 105
  • Genetics 5.5k
  • Molecular Biology 4.0k
  • Pediatrics, Perinatology and Child Health 2.0k
  • Surgery 508
  • Cognitive Neuroscience 391
Replace Suzanne B. Cassidy with:
Suzanne B. Cassidy United States
Jozef Gécz Australia
Ignatia B. Van den Veyver United States
Karen Brøndum‐Nielsen Denmark
Jill A. Rosenfeld United States
Françoise Muscatelli France
Bert B.A. de Vries Netherlands
Carlos A. Bacino United States
Lorraine Potocki United States
Thomas Eggermann Germany
Daniel J. Driscoll relative to Suzanne B. Cassidy United States Suzanne B. Cassidy's profile →
Citations per field
00.5×1.5×
Suzanne B. Cassidy · 1×
Citations per year

Countries citing papers authored by Daniel J. Driscoll

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Driscoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Driscoll

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Driscoll. A scholar is included among the top collaborators of Daniel J. Driscoll 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 J. Driscoll. Daniel J. Driscoll 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
#WorkIndexed citations
1 2
2 3
3 9
4 6
5 22
6 16
7 15
8 15
9
SECISBP2 syndrome: Mouse models for an atypical form of resistance to thyroid hormone
1
10 14
11 56
12 24
13 22
14 50
15 184
16 16
17 28
18 132
19 24
20 139

About Daniel J. Driscoll

Daniel J. Driscoll is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 104 papers that have together received 6.8k indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (84 papers), Epigenetics and DNA Methylation (49 papers) and Prenatal Screening and Diagnostics (34 papers). The work is most often cited by research in Genetics (5.5k citations), Pediatrics, Perinatology and Child Health (2.0k citations) and Molecular Biology (4.0k citations). Daniel J. Driscoll has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Suzanne B. Cassidy, Jennifer Miller, Stuart Schwartz, Robert D. Nicholls, Merlin G. Butler, Christopher C. Glenn, Charles A. Williams, Shinji Saitoh, M T Jong and Jonathan J. Shuster. Their work appears in journals such as Nature, 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.

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