Randall V. Collura

1.9k citations
11 papers · 1.4k indexed · 1 hit paper · h-index 9
Topics
Genomics and Phylogenetic Studies (3 papers)Animal Genetics and Reproduction (2 papers)Genetic diversity and population structure (2 papers)

In The Last Decade

Randall V. Collura

10 papers receiving 1.3k citations

Hit Papers

Common genetic variation in the HLA region is associated ...20102026201520202010100200300400500

Peers

Randall V. Collura
Comparison fields: 5 of 99
  • Molecular Biology 637
  • Genetics 446
  • Neurology 409
  • Neurology 307
  • Cellular and Molecular Neuroscience 292
Replace Marleen Van den Broeck with:
Marleen Van den Broeck Belgium
Michelle L. Thompson United States
Philip Washbourne United States
Mona M. Freidin United States
Martine Cohen‐Salmon France
Véronique Agin France
Pelagia Deriziotis Netherlands
Ryann M. Fame United States
Suresh Jesuthasan Singapore
T. Grant Belgard United States
Randall V. Collura relative to Marleen Van den Broeck Belgium Marleen Van den Broeck's profile →
Citations per field
00.5×1.5×
Marleen Van den Broeck · 1×
Citations per year

Countries citing papers authored by Randall V. Collura

Since Specialization
Citations

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

Fields of papers citing papers by Randall V. Collura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randall V. Collura. 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 Randall V. Collura. The network helps show where Randall V. Collura may publish in the future.

Co-authorship network of co-authors of Randall V. Collura

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 1
3
Common genetic variation in the HLA region is associated with late-onset sporadic Parkinson's diseasebreakdown →
584
4 54
5 45
6 286
7 153
8 42
9 19
10 169
11 8

About Randall V. Collura

Randall V. Collura is a scholar working on Virology, Genetics and Neurology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Animal Genetics and Reproduction (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Neurology (307 citations), Neurology (409 citations) and Cellular and Molecular Neuroscience (292 citations). Randall V. Collura has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Caro‐Beth Stewart, Christopher A. Walsh, Maryellen Ruvolo, Haydeh Payami, Albert Tenesa, Elizabeth Pugh, Alain Laederach, William K. Scott, Ali Samii and Jennifer S. Montimurro. Their work appears in journals such as Nature, Nature Genetics and Current Biology.

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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