Sibile Pardue

2.4k citations
61 papers · 2.0k · h-index 25

Impact in

Papers in

    • Heat shock proteins research 8
    • Mitochondrial Function and Pathology 6
    • RNA Research and Splicing 4
    • Sulfur Compounds in Biology 20

Sibile Pardue

60 papers receiving 2.0k citations

Peers

Sibile Pardue
Comparison fields: 5 of 107
  • Biochemistry 957
  • Endocrine and Autonomic Systems 212
  • Physiology 460
  • Aging 24
  • Molecular Biology 722
Replace Juan I. Sbodio with:
Juan I. Sbodio United States
Boon‐Seng Wong United States
Tanusree Sen United States
Moataz M. Gadalla United States
Weitong Mu United States
Robert W. Mills United States
Norihiro Shibuya Japan
Katarzyna A. Broniowska United States
Chi-Wing Chow United States
Harvey E. Marshall United States
Sibile Pardue relative to Juan I. Sbodio United States Juan I. Sbodio's profile →
Citations per field
00.5×1.5×
Juan I. Sbodio · 1×
Citations per year

Countries citing papers authored by Sibile Pardue

Since Specialization
Citations

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

Fields of papers citing papers by Sibile Pardue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sibile Pardue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sibile Pardue Line = papers co-authored together Sibile Pardue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011295
2 2016183
3 2012143
4 202175
5 201374
6 202168
7 199263
8 201558
9 198553
10 201651
11 201847
12 201846
13 202045
14 197944
15 201042
16 201342
17 199538
18 199337
19 200337
20 198137

About Sibile Pardue

Sibile Pardue is a scholar working on Molecular Biology, Biochemistry, Physiology, Pathology and Forensic Medicine and Pharmacology, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (20 papers), Heat shock proteins research (8 papers), Nitric Oxide and Endothelin Effects (6 papers), Biochemical effects in animals (6 papers), Mitochondrial Function and Pathology (6 papers), Alcohol Consumption and Health Effects (5 papers), RNA Research and Splicing (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Biochemistry (957 citations), Endocrine and Autonomic Systems (212 citations), Physiology (460 citations), Aging (24 citations) and Molecular Biology (722 citations). Sibile Pardue has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Christopher G. Kevil, Xinggui Shen, Christopher B. Pattillo, Shyamal C. Bir, Marcelle Morrison‐Bogorad, Rui Wang, Gopi K. Kolluru, Michael D. Pluth, Andrea K. Steiger and Marcelle R. Morrison. Their work appears in journals such as Redox Biology, Free Radical Biology and Medicine, Journal of Neurochemistry, Neurobiology of Aging and Fertility and Sterility.

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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