Daniel J. Burdick

40 papers receiving 1.8k citations

Daniel J. Burdick's Hit Papers

Safety, tolerability, and efficacy of NLY01 in early untreated Parkinson's disease: a randomised, double-blind, placebo-controlled trial 2023 · 111 citations
1110+1+2Years since publication255075100

Peers

Daniel J. Burdick
Comparison fields: 5 of 67
  • Neurology 592
  • Immunology and Allergy 151
  • Computational Theory and Mathematics 231
  • Molecular Biology 618
  • Organic Chemistry 209
Replace Qing Huai with:
Qing Huai United States
Valérie Reader Germany
Ron de Jong United States
Francesca Musumeci Italy
Nigel J. Liverton United States
Gary E. Schiltz United States
Géraldine Farjot France
William H. Parsons United States
Alexander Pautsch Germany
Scott Jakes United States
Daniel J. Burdick relative to Qing Huai United States Qing Huai's profile →
Citations per field
00.5×5×11.6×
Qing Huai · 1×
Citations per year

Countries citing papers authored by Daniel J. Burdick

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Burdick'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. Burdick 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. Burdick more than expected).

Fields of papers citing papers by Daniel J. Burdick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J. Burdick, 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 J. Burdick Line = papers co-authored together Daniel J. Burdick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012315
2 1992148
3 2002146
4 2012141
5 2013113
6
Safety, tolerability, and efficacy of NLY01 in early untreated Parkinson's disease: a randomised, double-blind, placebo-controlled trial
Hit paper breakdown →
2023111
7 2016102
8 198992
9 201277
10 199561
11 201761
12 201454
13 201548
14 199444
15 201243
16 199442
17 201134
18 201530
19 201630
20 199529

About Daniel J. Burdick

Daniel J. Burdick is a scholar working on Immunology and Allergy, Neurology, Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Chemical Synthesis and Analysis (6 papers), Computational Drug Discovery Methods (6 papers), Cell Adhesion Molecules Research (6 papers), Lung Cancer Treatments and Mutations (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Protein Degradation and Inhibitors (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Neurology (592 citations), Immunology and Allergy (151 citations), Computational Theory and Mathematics (231 citations), Molecular Biology (618 citations) and Organic Chemistry (209 citations). Daniel J. Burdick has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include John P. Burnier, Thomas R. Gadek, Charles W. Eigenbrot, Peter L. Barker, James A. Wells, Paul M. Carter, Sherron L. Bullens, Robert S. McDowell, Stuart Bunting and T.A. Deisher. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, ACS Chemical Biology and Biochemistry.

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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