Bill Pikounis

1.5k total citations
16 papers, 802 citations indexed

About

Bill Pikounis is a scholar working on Molecular Biology, Statistics and Probability and Small Animals. According to data from OpenAlex, Bill Pikounis has authored 16 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Statistics and Probability and 2 papers in Small Animals. Recurrent topics in Bill Pikounis's work include Statistical Methods in Clinical Trials (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Protein purification and stability (2 papers). Bill Pikounis is often cited by papers focused on Statistical Methods in Clinical Trials (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Protein purification and stability (2 papers). Bill Pikounis collaborates with scholars based in United States, Japan and Canada. Bill Pikounis's co-authors include Andy Liaw, Bert Gunter, Christine Brideau, Linda Rhodes, Omid Vafa, Jill Giles‐Komar, Honghui Zhou, Susan H. Tam, Eilyn R. Lacy and Laura Johns and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Statistical Software and Reproduction.

In The Last Decade

Bill Pikounis

15 papers receiving 775 citations

Peers

Bill Pikounis
Comparison fields: 5 of 109
  • Molecular Biology 337
  • Immunology 138
  • Genetics 93
  • Radiology, Nuclear Medicine and Imaging 81
  • Oncology 79
Replace Kaori Ide with:
Kaori Ide Japan
Anand K. Ganesan United States
Christopher Szeto Australia
Robin Ketteler United Kingdom
Nikolaus Fortelny Austria
Catherine Kettleborough United Kingdom
Imran Siddiqi United States
James O’D. McGee United Kingdom
Adam Castoreno United States
Pierre Dönnes Germany
Kaori Ide Japan View profile →
Citations per field, relative to Bill Pikounis
Bill Pikounis · 1×
Citations per year, relative to Bill Pikounis
Bill Pikounis · 1×

Countries citing papers authored by Bill Pikounis

Since Specialization
Citations

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

Fields of papers citing papers by Bill Pikounis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bill Pikounis. 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 Bill Pikounis. The network helps show where Bill Pikounis may publish in the future.

Co-authorship network of co-authors of Bill Pikounis

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 63
5 189
6 20
7 8
8 2
9 248
10 50
11 37
12 44
13 20
14 65
15 12
16 41

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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