David G. Pina

543 citations
21 papers · 422 indexed · h-index 12
Topics
Protein Structure and Dynamics (5 papers)scientometrics and bibliometrics research (4 papers)Escherichia coli research studies (4 papers)
Partner nations
SpainFranceBelgium

In The Last Decade

David G. Pina

20 papers receiving 412 citations

Peers

David G. Pina
Comparison fields: 5 of 105
  • Molecular Biology 203
  • Plant Science 75
  • Materials Chemistry 59
  • Electrical and Electronic Engineering 50
  • Statistics, Probability and Uncertainty 49
Replace Maria Kowalczuk with:
Maria Kowalczuk Poland
Jinseo Park South Korea
Jared B. J. Milbank United States
Stacy L. Springs United States
Vivek Srinivas India
Anders Sundin Sweden
Alexandra M. Schnoes United States
Rajesh Nagarajan United States
Qingjia Yao United States
Nari Lee South Korea
David G. Pina relative to Maria Kowalczuk Poland Maria Kowalczuk's profile →
Citations per field
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Maria Kowalczuk · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 6
4 8
5 13
6 11
7 23
8 16
9 48
10 27
11 3
12 7
13 20
14 42
15 6
16 32
17 24
18 35
19 86
20 1

About David G. Pina

David G. Pina is a scholar working on Endocrinology, Statistics, Probability and Uncertainty and Biochemistry, having authored 21 papers that have together received 422 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), scientometrics and bibliometrics research (4 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (49 citations), Endocrinology (33 citations) and Biotechnology (35 citations). David G. Pina has collaborated with scholars based in Spain, France and Belgium. Frequent co-authors include Ludger Johannes, Valery L. Shnyrov, Enrique Villar, Manuel G. Roig, Ana Marušić, Francisco Gavilanes, Ivan Yu. Sakharov, Galina G. Zhadan, Anabel Rodríguez and Georg Blaser. Their work appears in journals such as PLoS ONE, Biochemistry and FEBS Letters.

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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