James L. Rupert

1.8k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

James L. Rupert is a scholar working on Genetics, Physiology and Molecular Biology. According to data from OpenAlex, James L. Rupert has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in James L. Rupert's work include Genetics and Physical Performance (3 papers), Pharmacological Effects and Assays (2 papers) and High Altitude and Hypoxia (2 papers). James L. Rupert is often cited by papers focused on Genetics and Physical Performance (3 papers), Pharmacological Effects and Assays (2 papers) and High Altitude and Hypoxia (2 papers). James L. Rupert collaborates with scholars based in Canada, United States and Germany. James L. Rupert's co-authors include Carolyn J. Brown, Andrea Ballabio, Rossana Tonlorenzi, Huntington F. Willard, Ronald G. Lafrenière, Markus Grompe, Sarah Koch, Martin J. MacInnis, Michael S. Koehle and Mark R. Beauchamp and has published in prestigious journals such as Nature, British Journal of Sports Medicine and Analytical and Bioanalytical Chemistry.

In The Last Decade

James L. Rupert

9 papers receiving 1.2k 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.

A gene from the region of the human X inactivation centre is expressed exclusively from the inactive X chromosome

1991 1.2k citations Carolyn J. Brown, Andrea Ballabio et al. Nature profile →

Peers

James L. Rupert

MB

GENET

CR

PS

IMMUN

Zhenjuan Wang United States

Andrew Keniry Australia

Winifred Mak United States

Patricia Diabangouaya France

Alan Derr United States

Bradley P. Balaton Canada

Antoine Molaro United States

Alastair S. H. Goldman United Kingdom

Martha V. Koerner Austria

Rujiao Li China

Zhenjuan Wang United States

James L. Rupert

1.1k ×1.2

MB

474 ×0.8

GENET

128 ×0.3

CR

103 ×0.7

PS

40 ×0.7

IMMUN

Citations per year, relative to James L. Rupert James L. Rupert (= 1×) peers Zhenjuan Wang

Countries citing papers authored by James L. Rupert

Since Specialization

Citations

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

Fields of papers citing papers by James L. Rupert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James L. Rupert. 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 James L. Rupert. The network helps show where James L. Rupert may publish in the future.

Co-authorship network of co-authors of James L. Rupert

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

All Works

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10 of 10 papers shown

1.

Koch, Sarah, et al.. (2015). Pharmacogenetic Effects of Inhaled Salbutamol on 10-km Time Trial Performance in Competitive Male and Female Cyclists. Clinical Journal of Sport Medicine. 26(2). 145–151. 7 indexed citations

2.

Brown, Carolyn J. & James L. Rupert. (2014). Hypoxia and Environmental Epigenetics. High Altitude Medicine & Biology. 15(3). 323–330. 21 indexed citations

3.

Rupert, James L., et al.. (2013). A DNA-based method for detecting homologous blood doping. Analytical and Bioanalytical Chemistry. 405(30). 9693–9701. 8 indexed citations

4.

MacNutt, Meaghan J., James L. Rupert, & A. William Sheel. (2013). Haematological acclimation and re-acclimation to hypoxia in the mouse. Respiratory Physiology & Neurobiology. 189(1). 153–161. 4 indexed citations

5.

Koch, Sarah, et al.. (2013). Inhaled salbutamol does not affect athletic performance in asthmatic and non-asthmatic cyclists. British Journal of Sports Medicine. 49(1). 51–55. 22 indexed citations

6.

Beauchamp, Mark R., et al.. (2011). Experiential Versus Genetic Accounts of Inactivity: Implications for Inactive Individuals’ Self-Efficacy Beliefs and Intentions to Exercise. Behavioral Medicine. 37(1). 8–14. 20 indexed citations

7.

Rupert, James L.. (2011). Genitals to Genes: The History and Biology of Gender Verification in the Olympics. Canadian Journal of Health History. 28(2). 339–365. 8 indexed citations

8.

Rupert, James L.. (2009). Genetic variation and adaptation in the Quechua, a high altitude native population. Open Collections.

9.

Querido, Jordan S., James L. Rupert, Donald C. McKenzie, & A. William Sheel. (2008). Effects of intermittent hypoxia on the cerebrovascular responses to submaximal exercise in humans. European Journal of Applied Physiology. 105(3). 403–409. 4 indexed citations

10.

Brown, Carolyn J., Andrea Ballabio, James L. Rupert, et al.. (1991). A gene from the region of the human X inactivation centre is expressed exclusively from the inactive X chromosome. Nature. 349(6304). 38–44. 1178 indexed citations breakdown →

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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