Petr Pančoška

4.3k total citations · 1 hit paper
76 papers, 3.4k citations indexed

About

Petr Pančoška is a scholar working on Molecular Biology, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Petr Pančoška has authored 76 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 27 papers in Spectroscopy and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Petr Pančoška's work include Protein Structure and Dynamics (25 papers), Molecular spectroscopy and chirality (25 papers) and Spectroscopy and Quantum Chemical Studies (14 papers). Petr Pančoška is often cited by papers focused on Protein Structure and Dynamics (25 papers), Molecular spectroscopy and chirality (25 papers) and Spectroscopy and Quantum Chemical Studies (14 papers). Petr Pančoška collaborates with scholars based in United States, Czechia and Italy. Petr Pančoška's co-authors include Timothy A. Keiderling, Ute M. Moll, Susan Erster, Motohiro Mihara, Thomas Chittenden, Alexander Zaika, Oleksi Petrenko, Vladimı́r Baumruk, Brian I. Carr and Sritana C. Yasui and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Petr Pančoška

74 papers receiving 3.4k citations

Hit Papers

p53 Has a Direct Apoptoge... 2003 2026 2010 2018 2003 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petr Pančoška United States 27 2.4k 931 666 411 377 76 3.4k
Marion Stubbs United Kingdom 36 2.1k 0.9× 310 0.3× 390 0.6× 109 0.3× 457 1.2× 82 5.0k
Juswinder Singh United States 31 3.1k 1.3× 791 0.8× 343 0.5× 172 0.4× 589 1.6× 57 4.9k
Jeffrey Aubé United States 51 4.0k 1.7× 444 0.5× 344 0.5× 73 0.2× 164 0.4× 290 9.0k
Kōji Nakanishi Japan 39 1.8k 0.7× 224 0.2× 807 1.2× 177 0.4× 534 1.4× 130 5.1k
Richard Bertrand Canada 31 2.2k 0.9× 856 0.9× 437 0.7× 91 0.2× 175 0.5× 82 3.5k
Kevin T. Chapman United States 30 3.5k 1.4× 703 0.8× 365 0.5× 38 0.1× 159 0.4× 82 6.1k
John W. Kozarich United States 43 5.2k 2.2× 1.7k 1.8× 520 0.8× 62 0.2× 910 2.4× 141 7.7k
Kálmán Hideg Hungary 46 3.3k 1.4× 731 0.8× 951 1.4× 352 0.9× 1.7k 4.4× 252 7.5k
Menico Rizzi Italy 39 2.6k 1.1× 508 0.5× 154 0.2× 42 0.1× 630 1.7× 119 4.4k
Jules A. Shafer United States 44 2.9k 1.2× 600 0.6× 203 0.3× 42 0.1× 335 0.9× 130 6.0k

Countries citing papers authored by Petr Pančoška

Since Specialization
Citations

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

Fields of papers citing papers by Petr Pančoška

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petr Pančoška. 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 Petr Pančoška. The network helps show where Petr Pančoška may publish in the future.

Co-authorship network of co-authors of Petr Pančoška

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Pančoška. A scholar is included among the top collaborators of Petr Pančoška 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 Petr Pančoška. Petr Pančoška 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
1.
Martin, Andrew J., et al.. (2018). An examination of children’s motives for triathlon participation as a function of age. Annals of Leisure Research. 22(2). 183–201. 1 indexed citations
3.
Carr, Brian I., Petr Pančoška, Edoardo G. Giannini, et al.. (2014). Identification of Two Clinical Hepatocellular Carcinoma Patient Phenotypes From Results of Standard Screening Parameters. Seminars in Oncology. 41(3). 406–414. 10 indexed citations
4.
Carr, Brian I., Vito Guerra, & Petr Pančoška. (2012). Thrombocytopenia in Relation to Tumor Size in Patients with Hepatocellular Carcinoma. Oncology. 83(6). 339–345. 27 indexed citations
5.
Pančoška, Petr, Massimo De Giorgio, S. Fagiuoli, & Brian I. Carr. (2011). Small HCCs Identified by Screening. Digestive Diseases and Sciences. 56(10). 3078–3085. 7 indexed citations
6.
Pančoška, Petr, Brian I. Carr, & Robert A. Branch. (2010). Network-Based Analysis of Survival for Unresectable Hepatocellular Carcinoma. Seminars in Oncology. 37(2). 170–181. 13 indexed citations
7.
Pančoška, Petr, et al.. (2009). Feasibility of Adolescents to Conduct Community‐Based Participatory Research on Obesity and Diabetes in Rural Appalachia. Clinical and Translational Science. 2(5). 340–349. 18 indexed citations
8.
Pančoška, Petr. (2004). Rational design of DNA sequences for nanotechnology, microarrays and molecular computers using Eulerian graphs. Nucleic Acids Research. 32(15). 4630–4645. 8 indexed citations
9.
Mihara, Motohiro, Susan Erster, Alexander Zaika, et al.. (2003). p53 Has a Direct Apoptogenic Role at the Mitochondria. Molecular Cell. 11(3). 577–590. 1403 indexed citations breakdown →
10.
Pančoška, Petr, et al.. (1999). Spectra, graphs, and proteins. Towards understanding of protein folding. 237–255. 1 indexed citations
11.
Pančoška, Petr, et al.. (1997). Vibrational Circular Dichroism Spectra of Proteins in the Amide III Region: Measurement and Correlation of Bandshape to Secondary Structure. Analytical Biochemistry. 250(2). 212–221. 27 indexed citations
13.
Keiderling, Timothy A., Baoliang Wang, Marie Urbanová, Petr Pančoška, & Rina K. Dukor. (1994). Empirical studies of protein secondary structure by vibrational circular dichroism and related techniques. α-Lactalbumin and lysozyme as examples. Faraday Discussions. 99(99). 263–285. 31 indexed citations
14.
Pančoška, Petr, Lijiang Wang, & Timothy A. Keiderling. (1993). Frequency analysis of infrared absorption and vibrational circular dichroism of proteins in D2O solution. Protein Science. 2(3). 411–419. 33 indexed citations
15.
Pančoška, Petr, M. Błażek, & Timothy A. Keiderling. (1992). Relationships between secondary structure fractions for globular proteins. Neural network analyses of crystallographic data sets. Biochemistry. 31(42). 10250–10257. 27 indexed citations
16.
Pančoška, Petr & Timothy A. Keiderling. (1991). Systematic comparison of statistical analyses of electronic and vibrational circular dichroism for secondary structure prediction of selected proteins. Biochemistry. 30(28). 6885–6895. 60 indexed citations
17.
18.
Pančoška, Petr, Sritana C. Yasui, & Timothy A. Keiderling. (1989). Enhanced sensitivity to conformation in various proteins. Vibrational circular dichroism results. Biochemistry. 28(14). 5917–5923. 57 indexed citations
19.
Pančoška, Petr, et al.. (1984). Chlorophyll a colloidal systems in water environment and their interactions with synthetic polypeptides. Photobiochemistry and photobiophysics.. 8(5-6). 315–322. 1 indexed citations
20.
Pančoška, Petr, et al.. (1983). The effect of external charges on the absorption spectra of porphyrins. Quantum chemical discussion. Photobiochemistry and photobiophysics.. 6(1). 39–46. 5 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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