Nadia M. Penrod

823 citations
15 papers · 597 indexed · h-index 9
Topics
Bioinformatics and Genomic Networks (5 papers)Gene expression and cancer classification (4 papers)Computational Drug Discovery Methods (3 papers)

In The Last Decade

Nadia M. Penrod

15 papers receiving 591 citations

Peers

Nadia M. Penrod
Comparison fields: 5 of 103
  • Molecular Biology 323
  • Genetics 203
  • Immunology 65
  • Cancer Research 51
  • Rheumatology 45
Replace Cankut Çubuk with:
Cankut Çubuk United Kingdom
Alfredo Miranda United Kingdom
Luca Fumis United Kingdom
Murray H. Brilliant United States
Mai Fujimoto Japan
Miguel Carmona United Kingdom
Dörte Radke Germany
Adam Yao Taiwan
Philippe Couvert France
Xiangqun Zheng-Bradley United Kingdom
Nadia M. Penrod relative to Cankut Çubuk United Kingdom Cankut Çubuk's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nadia M. Penrod

Since Specialization
Citations

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

Fields of papers citing papers by Nadia M. Penrod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia M. Penrod. 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 Nadia M. Penrod. The network helps show where Nadia M. Penrod may publish in the future.

Co-authorship network of co-authors of Nadia M. Penrod

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2 4
3 8
4 4
5 1
6 8
7 11
8 99
9 72
10 6
11 27
12 4
13 203
14 49
15 98

About Nadia M. Penrod

Nadia M. Penrod is a scholar working on Applied Psychology, Computational Theory and Mathematics and Obstetrics and Gynecology, having authored 15 papers that have together received 597 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Genetics (203 citations), Molecular Biology (323 citations) and Cancer Research (51 citations). Nadia M. Penrod has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Jason H. Moore, Casey S. Greene, Scott M. Williams, Jeff Kiralis, Mathieu Lupien, Richard Cowper‐Sal·lari, Joel M. Kremer, Henk‐Jan Guchelaar, Thierry Dervieux and Judith A.M. Wessels. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

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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