Gregory C. Spies

1.6k total citations · 1 hit paper
2 papers, 552 citations indexed

About

Gregory C. Spies is a scholar working on Molecular Biology, Anthropology and Computational Theory and Mathematics. According to data from OpenAlex, Gregory C. Spies has authored 2 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Anthropology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Gregory C. Spies's work include Pharmacogenetics and Drug Metabolism (1 paper), Archaeology and Natural History (1 paper) and Computational Drug Discovery Methods (1 paper). Gregory C. Spies is often cited by papers focused on Pharmacogenetics and Drug Metabolism (1 paper), Archaeology and Natural History (1 paper) and Computational Drug Discovery Methods (1 paper). Gregory C. Spies collaborates with scholars based in United States. Gregory C. Spies's co-authors include Kelsy C. Cotto, Alex H. Wagner, Yang-Yang Feng, Susanna Kiwala, Nicholas C. Spies, Obi L. Griffith, Adam Coffman and Malachi Griffith and has published in prestigious journals such as Nucleic Acids Research.

In The Last Decade

Gregory C. Spies

2 papers receiving 552 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DGIdb 3.0: a redesign and expansion of the drug–gene interaction database

2017 551 citations Kelsy C. Cotto, Alex H. Wagner et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by Gregory C. Spies

Since Specialization

Citations

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

Fields of papers citing papers by Gregory C. Spies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory C. Spies. 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 Gregory C. Spies. The network helps show where Gregory C. Spies may publish in the future.

Co-authorship network of co-authors of Gregory C. Spies

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

All Works

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2 of 2 papers shown

#	Work	Indexed citations
1	DGIdb 3.0: a redesign and expansion of the drug–gene interaction database breakdown → 2017 ·Nucleic Acids Research ·Kelsy C. Cotto, Alex H. Wagner, Yang-Yang Feng, Susanna Kiwala, Adam Coffman, Gregory C. Spies, (unknown), Nicholas C. Spies, Obi L. Griffith, Malachi Griffith	551
2	Archaeological Investigations at the Bay Oaks Sites on Dog River, Mobile County, Alabama 1983 ·Gregory C. Spies, (unknown)	1

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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