John Gregg

1.1k total citations
6 papers, 63 citations indexed

About

John Gregg is a scholar working on Molecular Biology, Genetics and Virology. According to data from OpenAlex, John Gregg has authored 6 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Virology. Recurrent topics in John Gregg's work include Advanced Statistical Methods and Models (1 paper), HIV Research and Treatment (1 paper) and Machine Learning in Bioinformatics (1 paper). John Gregg is often cited by papers focused on Advanced Statistical Methods and Models (1 paper), HIV Research and Treatment (1 paper) and Machine Learning in Bioinformatics (1 paper). John Gregg collaborates with scholars based in United States. John Gregg's co-authors include Benjamin H. Landing, William R. Shankle, Joel N. Blankson, María Salgado, Christopher L. Nobles, Eileen P. Scully, Justin R. Bailey, Rachel Latanich, Frederic D. Bushman and Abena K. Kwaa and has published in prestigious journals such as BMC Microbiology, JCI Insight and BioData Mining.

In The Last Decade

John Gregg

5 papers receiving 61 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Gregg United States	3	27	19	16	14	7	6	63
Tariq Ahmad United Kingdom	3	17 0.6×	27 1.4×	11 0.7×	33 2.4×	3 0.4×	5	97
Andrew Blumenfeld United States	2	13 0.5×	8 0.4×	6 0.4×	14 1.0×	4 0.6×	2	45
Alveera Singh South Africa	4	13 0.5×	13 0.7×	16 1.0×	5 0.4×	7 1.0×	4	39
Esperanza Cañas‐Ruano Spain	6	24 0.9×	16 0.8×	9 0.6×	7 0.5×	3 0.4×	17	61
Kathy Ton United States	3	40 1.5×	63 3.3×	9 0.6×	19 1.4×	1 0.1×	5	95
Nicole Wheeler United States	2	30 1.1×	17 0.9×	30 1.9×	13 0.9×	2 0.3×	3	60
Maximilian Münchhoff Germany	3	26 1.0×	30 1.6×	7 0.4×	7 0.5×		6	58
Aiysha Puri United Kingdom	4	11 0.4×	11 0.6×	10 0.6×	3 0.2×	10 1.4×	6	35
Shannan Hall-Ursone United States	4	8 0.3×	29 1.5×	12 0.8×	4 0.3×	10 1.4×	6	44
Carter Bentley South Africa	2	13 0.5×	13 0.7×	11 0.7×	6 0.4×	2 0.3×	2	28

Countries citing papers authored by John Gregg

Since Specialization

Citations

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

Fields of papers citing papers by John Gregg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Gregg

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

All Works

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6 of 6 papers shown

1.

Gregg, John & Jason H. Moore. (2023). STAR_outliers: a python package that separates univariate outliers from non-normal distributions. BioData Mining. 16(1). 25–25. 1 indexed citations

2.

Gregg, John, Trang T. Le, & Jason H. Moore. (2021). REGENS: an open source Python package for simulating realistic autosomal genotypes. The Journal of Open Source Software. 6(59). 2743–2743. 1 indexed citations

3.

Le, Trang T., William La Cava, Joseph D. Romano, et al.. (2020). PMLB v1.0: an open source dataset collection for benchmarking machine learning methods.

4.

Romano, Kymberleigh A., et al.. (2018). A Recurrent Silent Mutation Implicates fecA in Ethanol Tolerance by Escherichia coli. BMC Microbiology. 18(1). 36–36. 8 indexed citations

5.

Veenhuis, Rebecca T., Abena K. Kwaa, Caroline C. Garliss, et al.. (2018). Long-term remission despite clonal expansion of replication-competent HIV-1 isolates. JCI Insight. 3(18). 29 indexed citations

6.

Shankle, William R., Benjamin H. Landing, & John Gregg. (1983). Normal Organ Weights of Infants and Children: Graphs of Values by Age, with Confidence Intervals. Pediatric Pathology. 1(4). 399–408. 24 indexed citations

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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