C. Nick Pace

25.6k citations
202 papers · 21.1k indexed · 7 hit papers · h-index 60

C. Nick Pace

200 papers receiving 20.5k citations

Hit Papers

A Helix Propensity Scale Based on Experimental...841197420261991200810002.0k3.0k

Peers

C. Nick Pace
Comparison fields: 5 of 173
  • Molecular Biology 15.7k
  • Materials Chemistry 6.1k
  • Cell Biology 1.8k
  • Spectroscopy 1.8k
  • Biotechnology 931
Replace Yuji Goto with:
Yuji Goto Japan
Anthony L. Fink United States
Wei Wang China
Carlos Simmerling United States
Roland Schulz United States
Daniel E. Otzen Denmark
Cyrus Chothia United Kingdom
Szilárd Páll Sweden
Michael Feig United States
Elaine C. Meng United States
C. Nick Pace relative to Yuji Goto Japan Yuji Goto's profile →
Citations per field
00.5×1.5×
Yuji Goto · 1×
Citations per year

Countries citing papers authored by C. Nick Pace

Since Specialization
Citations

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

Fields of papers citing papers by C. Nick Pace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Nick Pace. 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 C. Nick Pace. The network helps show where C. Nick Pace may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2012298
2 201041
3 201023
4 2009363
5 200818
6 200747
7 200723
8 200542
9 200424
10 200253
11 20026
12 200123
13 1999177
14 199960
15
A Helix Propensity Scale Based on Experimental Studies of Peptides and Proteinsbreakdown →
1998841
16 199720
17
Denaturant m values and heat capacity changes: Relation to changes in accessible surface areas of protein unfoldingbreakdown →
19951508
18 1992116
19 199232
20 1989167

About C. Nick Pace

C. Nick Pace is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering, having authored 202 papers that have together received 21.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (70 papers), Enzyme Structure and Function (60 papers), Advancements in Semiconductor Devices and Circuit Design (43 papers), Semiconductor materials and devices (39 papers), RNA and protein synthesis mechanisms (26 papers), Integrated Circuits and Semiconductor Failure Analysis (24 papers), DNA and Nucleic Acid Chemistry (13 papers) and Electrostatic Discharge in Electronics (13 papers). The work is most often cited by research in Molecular Biology (15.7k citations), Materials Chemistry (6.1k citations) and Cell Biology (1.8k citations). C. Nick Pace has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include J. Martin Scholtz, Gerald R. Grimsley, Jeffrey K. Myers, Lanette Fee, F.F. Vajdos, Raymond F. Greene, Kevin L. Shaw, Jan Hermans, Saul Treviño and Bret A. Shirley. Their work appears in journals such as Biochemistry, Protein Science, Journal of Molecular Biology, Journal of Biological Chemistry and IEEE Transactions on Instrumentation and Measurement.

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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