Daniel P. Griffith

3.1k citations
33 papers · 1.9k · 2 hit papers · h-index 21

Impact in

Papers in

Daniel P. Griffith

33 papers receiving 1.9k citations

Daniel P. Griffith's Hit Papers

Direct prediction of intrinsically disordered protein conformational properties from sequence 2024 · 110 citations
1100+1+3Years since publication100200300400

Peers

Daniel P. Griffith
Comparison fields: 5 of 112
  • Nutrition and Dietetics 496
  • Infectious Diseases 347
  • Molecular Biology 667
  • Physiology 220
  • Emergency Medical Services 57
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Citations per year

Countries citing papers authored by Daniel P. Griffith

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Griffith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The SARS-CoV-2 nucleocapsid protein is dynamic, disordered, and phase separates with RNA
Hit paper breakdown →
2021407
2 2005154
3 2021152
4 2009116
5 2017111
6
Direct prediction of intrinsically disordered protein conformational properties from sequence
Hit paper breakdown →
2024110
7 201197
8 200874
9 202165
10 201459
11 201258
12 201555
13 200752
14 201747
15 200846
16 200344
17 201237
18 201836
19 202333
20 201427

About Daniel P. Griffith

Daniel P. Griffith is a scholar working on Nutrition and Dietetics, Emergency Medical Services, Molecular Biology, Neurology and Rehabilitation, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (10 papers), Protein Structure and Dynamics (6 papers), Machine Learning in Bioinformatics (3 papers), Trace Elements in Health (3 papers), RNA Research and Splicing (3 papers), Alcoholism and Thiamine Deficiency (2 papers), Enzyme Structure and Function (2 papers) and Central Venous Catheters and Hemodialysis (2 papers). The work is most often cited by research in Nutrition and Dietetics (496 citations), Infectious Diseases (347 citations), Molecular Biology (667 citations), Physiology (220 citations) and Emergency Medical Services (57 citations). Daniel P. Griffith has collaborated with scholars based in United States, Türkiye and Spain. Frequent co-authors include Alex S. Holehouse, Thomas R. Ziegler, Ryan J. Emenecker, Garrett M. Ginell, John R. Galloway, Menghua Luo, Vivian M. Zhao, Michael D. Ward, Melissa D. Stuchell‐Brereton and Kathleen B. Hall. Their work appears in journals such as Journal of Parenteral and Enteral Nutrition, Nutrition, Nature Communications, Critical Care Medicine and Nutrition in Clinical Practice.

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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