Alexander R. Pico

24.6k citations
57 papers · 7.8k indexed · 5 hit papers · h-index 30
Topics
Bioinformatics and Genomic Networks (28 papers)Biomedical Text Mining and Ontologies (14 papers)Gene expression and cancer classification (10 papers)

In The Last Decade

Alexander R. Pico

56 papers receiving 7.7k citations

Hit Papers

A travel guide to Cytoscape plugins2012202620162021201220192020201220242505007501000

Peers

Alexander R. Pico
Comparison fields: 5 of 176
  • Molecular Biology 5.7k
  • Cancer Research 1.0k
  • Genetics 655
  • Immunology 515
  • Computational Theory and Mathematics 510
Replace Pablo Mínguez with:
Pablo Mínguez Spain
Kalliopi P. Tsafou Denmark
Prahlad T. Ram United States
Sherry L. Jenkins United States
Keiichiro Ono United States
Anil G. Jegga United States
Katherine Phillippy United States
Naigong Zhang United States
Jing Liang China
Pengliang Wang China
Alexander R. Pico relative to Pablo Mínguez Spain Pablo Mínguez's profile →
Citations per field
00.5×
Pablo Mínguez · 1×
Citations per year

Countries citing papers authored by Alexander R. Pico

Since Specialization
Citations

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

Fields of papers citing papers by Alexander R. Pico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander R. Pico. 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 Alexander R. Pico. The network helps show where Alexander R. Pico may publish in the future.

Co-authorship network of co-authors of Alexander R. Pico

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander R. Pico. A scholar is included among the top collaborators of Alexander R. Pico 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 Alexander R. Pico. Alexander R. Pico 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 5
2 1
3 18
4
WikiPathways: connecting communitiesbreakdown →
507
5 25
6 37
7 6
8 18
9 313
10 138
11
A travel guide to Cytoscape pluginsbreakdown →
1149
12 384
13 243
14 175
15 123
16 75
17 42
18 269
19 204
20 352

About Alexander R. Pico

Alexander R. Pico is a scholar working on Molecular Biology, Information Systems and Management and Cancer Research, having authored 57 papers that have together received 7.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (28 papers), Biomedical Text Mining and Ontologies (14 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Cancer Research (1.0k citations) and Aging (66 citations). Alexander R. Pico has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Chris T. Evelo, Kristina Hanspers, Bruce R. Conklin, Thomas Kelder, Martijn van Iersel, John H. Morris, Jorge Bouças, Barry Demchak, David Otasek and Samad Lotia. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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