Harold A. Scheraga

666 total citations
12 papers, 558 citations indexed

About

Harold A. Scheraga is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Cell Biology. According to data from OpenAlex, Harold A. Scheraga has authored 12 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Cell Biology. Recurrent topics in Harold A. Scheraga's work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (3 papers) and Chemical Synthesis and Analysis (2 papers). Harold A. Scheraga is often cited by papers focused on Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (3 papers) and Chemical Synthesis and Analysis (2 papers). Harold A. Scheraga collaborates with scholars based in United States, Canada and Argentina. Harold A. Scheraga's co-authors include Kenneth D. Gibson, George Némethy, Stephen A. Fossey, Feng Ni, Alfred A. Rabow, Yasuo Konishi, Adriana Zagari, Susan T. Lord, Daniel R. Ripoll and Yury N. Vorobjev and has published in prestigious journals such as Biochemistry, FEBS Letters and Biophysical Journal.

In The Last Decade

Harold A. Scheraga

12 papers receiving 541 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Harold A. Scheraga United States 11 335 151 107 58 52 12 558
Haleh Abdizadeh Türkiye 11 459 1.4× 80 0.5× 82 0.8× 61 1.1× 49 0.9× 13 625
A. Gulik France 13 446 1.3× 167 1.1× 74 0.7× 56 1.0× 27 0.5× 21 687
Marco Ceruso United States 7 575 1.7× 33 0.2× 86 0.8× 54 0.9× 44 0.8× 7 697
Craig T. Armstrong United Kingdom 14 569 1.7× 122 0.8× 125 1.2× 18 0.3× 38 0.7× 15 824
Diana E. Wetzler Argentina 13 235 0.7× 47 0.3× 86 0.8× 37 0.6× 27 0.5× 28 507
Michael D. Daily United States 16 781 2.3× 100 0.7× 282 2.6× 75 1.3× 28 0.5× 23 968
Krishnakumar M. Ravikumar United States 12 251 0.7× 90 0.6× 119 1.1× 35 0.6× 37 0.7× 19 525
John W. Kehoe United States 10 658 2.0× 45 0.3× 33 0.3× 19 0.3× 30 0.6× 10 786
C. E. Sullivan United States 10 173 0.5× 139 0.9× 70 0.7× 20 0.3× 54 1.0× 12 446
Andrzej Bierzyński Poland 15 723 2.2× 29 0.2× 207 1.9× 45 0.8× 22 0.4× 33 804

Countries citing papers authored by Harold A. Scheraga

Since Specialization
Citations

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

Fields of papers citing papers by Harold A. Scheraga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold A. Scheraga. 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 Harold A. Scheraga. The network helps show where Harold A. Scheraga may publish in the future.

Co-authorship network of co-authors of Harold A. Scheraga

This figure shows the co-authorship network connecting the top 25 collaborators of Harold A. Scheraga. A scholar is included among the top collaborators of Harold A. Scheraga 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 Harold A. Scheraga. Harold A. Scheraga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Czaplewski, Cezary, Sebastian Kalinowski, Adam Liwo, & Harold A. Scheraga. (2005). Comparison of two approaches to potential of mean force calculations of hydrophobic association: particle insertion and weighted histogram analysis methods. Molecular Physics. 103(21-23). 3153–3167. 18 indexed citations
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Shin, Hang-Cheol & Harold A. Scheraga. (1999). Effect of protein disulfide isomerase on the regeneration of bovine ribonuclease A with dithiothreitol. FEBS Letters. 456(1). 143–145. 9 indexed citations
4.
Vila, Jorge A., et al.. (1998). Role of Hydrophobicity and Solvent-Mediated Charge-Charge Interactions in Stabilizing α-Helices. Biophysical Journal. 75(6). 2637–2646. 35 indexed citations
5.
Scheraga, Harold A.. (1998). Theory of Hydrophobic Interactions. Journal of Biomolecular Structure and Dynamics. 16(2). 447–460. 70 indexed citations
6.
Rabow, Alfred A. & Harold A. Scheraga. (1996). Improved genetic algorithm for the protein folding problem by use of a Cartesian combination operator. Protein Science. 5(9). 1800–1815. 46 indexed citations
7.
Fossey, Stephen A., George Némethy, Kenneth D. Gibson, & Harold A. Scheraga. (1991). Conformational energy studies of β‐sheets of model silk fibroin peptides. I. Sheets of poly(Ala‐Gly) chains. Biopolymers. 31(13). 1529–1541. 161 indexed citations
8.
Ni, Feng, Yasuo Konishi, & Harold A. Scheraga. (1990). Thrombin-bound conformation of the C-terminal fragments of hirudin determined by transferred nuclear Overhauser effects. Biochemistry. 29(18). 4479–4489. 68 indexed citations
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Scheraga, Harold A.. (1987). Conformational analysis of polypeptides and proteins for the study of protein folding, molecular recognition, and molecular design. Journal of Protein Chemistry. 6(1). 61–80. 12 indexed citations
12.
Scheraga, Harold A.. (1984). Multiple pathways for regenerating ribonuclease A. Advances in Biophysics. 18. 21–41. 57 indexed citations

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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