Shannon E. Mullican

23 papers receiving 3.8k citations

Hit Papers

GFRAL is the receptor for GDF15 and the ligand promotes weight loss in mice and nonhuman primates 2017 · 536 citations
5362011202620162021100200300400500

Peers

Shannon E. Mullican
Comparison fields: 5 of 105
  • Aging 211
  • Endocrine and Autonomic Systems 755
  • Physiology 1.4k
  • Rheumatology 524
  • Cellular and Molecular Neuroscience 621
Replace Michael T. Lam with:
Michael T. Lam United States
Weimin He China
Manuel Ros Spain
Ray Zhang United States
Patsy M. Nishina United States
Jianping Jin United States
Cuiying Xiao United States
Saskia Biskup Germany
Jinte Middeldorp Netherlands
Danielle Springer United States
Shannon E. Mullican relative to Michael T. Lam United States Michael T. Lam's profile →
Citations per field
00.5×5.7×
Michael T. Lam · 1×
Citations per year

Countries citing papers authored by Shannon E. Mullican

Since Specialization
Citations

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

Fields of papers citing papers by Shannon E. Mullican

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon E. Mullican. 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 Shannon E. Mullican. The network helps show where Shannon E. Mullican may publish in the future.

Co-authors

The 25 scholars most cited alongside Shannon E. Mullican, 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 Shannon E. Mullican Line = papers co-authored together Shannon E. Mullican links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 201894
3 20182
4
GFRAL is the receptor for GDF15 and the ligand promotes weight loss in mice and nonhuman primates
Hit paper breakdown →
2017536
5 201369
6 2013186
7 2013216
8
Rev-erbα and Rev-erbβ coordinately protect the circadian clock and normal metabolic function
Hit paper breakdown →
2012402
9 201265
10 201279
11 201153
12 2011253
13
A Circadian Rhythm Orchestrated by Histone Deacetylase 3 Controls Hepatic Lipid Metabolism
Hit paper breakdown →
2011550
14 2011398
15 201181
16 201179
17 2010174
18 200939
19 2008223
20 2007251

About Shannon E. Mullican

Shannon E. Mullican is a scholar working on Endocrine and Autonomic Systems, Aging, Physiology, Cellular and Molecular Neuroscience and Rheumatology, having authored 23 papers that have together received 3.9k indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (6 papers), Adipose Tissue and Metabolism (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Epigenetics and DNA Methylation (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Circadian rhythm and melatonin (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and GDF15 and Related Biomarkers (3 papers). The work is most often cited by research in Aging (211 citations), Endocrine and Autonomic Systems (755 citations), Physiology (1.4k citations), Rheumatology (524 citations) and Cellular and Molecular Neuroscience (621 citations). Shannon E. Mullican has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Mitchell A. Lazar, Dan Feng, Theresa Alenghat, Anne Bugge, Logan J. Everett, Zheng Sun, Shamina M. Rangwala, X. Shirley Liu, Tao Liu and Joanna R. DiSpirito. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine, Diabetes, Genes & Development and Journal of Neuroscience.

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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