David G. Pina

541 total citations
21 papers, 409 citations indexed

About

David G. Pina is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty and Endocrinology. According to data from OpenAlex, David G. Pina has authored 21 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Endocrinology. Recurrent topics in David G. Pina's work include Protein Structure and Dynamics (5 papers), scientometrics and bibliometrics research (4 papers) and Escherichia coli research studies (4 papers). David G. Pina is often cited by papers focused on Protein Structure and Dynamics (5 papers), scientometrics and bibliometrics research (4 papers) and Escherichia coli research studies (4 papers). David G. Pina collaborates with scholars based in Spain, Belgium and France. David G. Pina's co-authors include Ludger Johannes, Valery L. Shnyrov, Enrique Villar, Francisco Gavilanes, Manuel G. Roig, Ana Marušić, Ivan Yu. Sakharov, Galina G. Zhadan, Anabel Rodríguez and Darko Hren and has published in prestigious journals such as PLoS ONE, Biochemistry and FEBS Letters.

In The Last Decade

David G. Pina

19 papers receiving 401 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David G. Pina 202 73 60 50 46 21 409
Stacy L. Springs 513 2.5× 20 0.3× 200 3.3× 52 1.0× 7 0.2× 46 979
Fiona L. Kearns 391 1.9× 18 0.2× 97 1.6× 12 0.2× 4 0.1× 29 1.0k
Andreas Premstaller 668 3.3× 50 0.7× 51 0.8× 18 0.4× 3 0.1× 19 1.2k
Nari Lee 314 1.6× 103 1.4× 34 0.6× 70 1.4× 44 737
Jarmila Dušková 299 1.5× 152 2.1× 84 1.4× 49 1.0× 42 594
Yen‐Chieh Huang 155 0.8× 41 0.6× 97 1.6× 49 1.0× 29 429
Manpreet Singh 180 0.9× 12 0.2× 31 0.5× 19 0.4× 3 0.1× 24 522
Christopher J. Arthur 397 2.0× 42 0.6× 65 1.1× 14 0.3× 61 911
Daewon Kim 86 0.4× 31 0.4× 26 0.4× 93 1.9× 27 397

Countries citing papers authored by David G. Pina

Since Specialization
Citations

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

Fields of papers citing papers by David G. Pina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Pina. 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 David G. Pina. The network helps show where David G. Pina may publish in the future.

Co-authorship network of co-authors of David G. Pina

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Pina. A scholar is included among the top collaborators of David G. Pina 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 David G. Pina. David G. Pina 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.
Puente-López, Esteban, et al.. (2025). The risk of bias – symptom and performance validity (RoB-spv): A risk of bias checklist for systematic review and meta-analysis. The Clinical Neuropsychologist. 39(7). 1996–2020.
2.
Puente-López, Esteban, David G. Pina, Julia C. Daugherty, Miguel Pérez-Garcı́a, & Thomas Merten. (2024). Simulación y Validez de la Información de Síntomas Psicopatológicos en España: Conceptos, Métodos y Desafíos. SPIRE - Sciences Po Institutional REpository. 15(2). 66–79. 1 indexed citations
3.
Seeber, Marco, et al.. (2022). Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model. Technological Forecasting and Social Change. 184. 122009–122009. 7 indexed citations
4.
Hren, Darko, et al.. (2022). What makes or breaks competitive research proposals? A mixed-methods analysis of research grant evaluation reports. Journal of Informetrics. 16(2). 101289–101289. 4 indexed citations
5.
Seeber, Marco, et al.. (2021). Does reviewing experience reduce disagreement in proposals evaluation? Insights from Marie Skłodowska-Curie and COST Actions. Research Evaluation. 30(3). 349–360. 10 indexed citations
6.
Pina, David G., Ivan Buljan, Darko Hren, & Ana Marušić. (2021). A retrospective analysis of the peer review of more than 75,000 Marie Curie proposals between 2007 and 2018. eLife. 10. 13 indexed citations
7.
8.
Pina, David G., Darko Hren, & Ana Marušić. (2015). Peer Review Evaluation Process of Marie Curie Actions under EU’s Seventh Framework Programme for Research. PLoS ONE. 10(6). e0130753–e0130753. 16 indexed citations
9.
Andersson, Fredrik I., David G. Pina, Anna L. Mallam, Georg Blaser, & Sophie Jackson. (2009). Untangling the folding mechanism of the 52‐knotted protein UCH‐L3. FEBS Journal. 276(9). 2625–2635. 47 indexed citations
10.
Zamorano, Laura, David G. Pina, Juan B. Arellano, et al.. (2008). Thermodynamic characterization of the palm tree Roystonea regia peroxidase stability. Biochimie. 90(11-12). 1737–1749. 26 indexed citations
11.
Pina, David G., Bahne Stechmann, Valery L. Shnyrov, et al.. (2007). Correlation between Shiga toxin B‐subunit stability and antigen crosspresentation: A mutational analysis. FEBS Letters. 582(2). 185–189. 3 indexed citations
12.
Pina, David G., Javier Gómez, Patrick England, et al.. (2006). Characterization of the non-native trifluoroethanol-induced intermediate conformational state of the Shiga toxin B-subunit. Biochimie. 88(9). 1199–1207. 7 indexed citations
13.
Pina, David G., Ludger Johannes, & Miguel A. R. B. Castanho. (2006). Shiga toxin B-subunit sequential binding to its natural receptor in lipid membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1768(3). 628–636. 20 indexed citations
14.
Pina, David G. & Ludger Johannes. (2005). Cholera and Shiga toxin B-subunits: thermodynamic and structural considerations for function and biomedical applications. Toxicon. 45(4). 389–393. 41 indexed citations
15.
Bursakov, Sergey A., David G. Pina, Galina G. Zhadan, et al.. (2004). Structural stability of adenylate kinase from the sulfate-reducing bacteria Desulfovibrio gigas. Biophysical Chemistry. 110(1-2). 83–92. 6 indexed citations
16.
Pina, David G., Javier Gómez, Enrique Villar, Ludger Johannes, & Valery L. Shnyrov. (2003). Thermodynamic Analysis of the Structural Stability of the Shiga Toxin B-Subunit. Biochemistry. 42(31). 9498–9506. 24 indexed citations
17.
Pina, David G., Cláudia S. Oliveira, Marlene Barros, et al.. (2003). Thermostability of cardosin A from Cynara cardunculus L.. Thermochimica Acta. 402(1-2). 123–134. 12 indexed citations
18.
Rodríguez, Anabel, David G. Pina, Belén Yélamos, et al.. (2002). Thermal stability of peroxidase from the african oil palm tree Elaeis guineensis. European Journal of Biochemistry. 269(10). 2584–2590. 32 indexed citations
19.
Pina, David G., Anna V. Shnyrova, Francisco Gavilanes, et al.. (2001). Thermally induced conformational changes in horseradish peroxidase. European Journal of Biochemistry. 268(1). 120–126. 86 indexed citations
20.
Pina, David G.. (2001). Thermally induced conformational changes in horseradish peroxidase. JBIC Journal of Biological Inorganic Chemistry. 268(1). 120–120.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stacy L. Springs Breakdown of academic impact, for papers by Fiona L. Kearns Breakdown of academic impact, for papers by Andreas Premstaller Breakdown of academic impact, for papers by Nari Lee Breakdown of academic impact, for papers by Jarmila Dušková Breakdown of academic impact, for papers by Yen‐Chieh Huang Breakdown of academic impact, for papers by Manpreet Singh Breakdown of academic impact, for papers by Christopher J. Arthur Breakdown of academic impact, for papers by Daewon Kim
Rankless by CCL
2026