Kira Smith

1.9k citations
15 papers · 1.6k · h-index 12

Impact in

Papers in

    • TGF-β signaling in diseases 3
    • Bone Metabolism and Diseases 2
    • Adipose Tissue and Metabolism 2
    • Nitric Oxide and Endothelin Effects 2

Kira Smith

15 papers receiving 1.6k citations

Peers

Kira Smith
Comparison fields: 5 of 99
  • Aging 98
  • Geriatrics and Gerontology 186
  • Biochemistry 155
  • Physiology 480
  • Neurology 129
Replace Aracelie Rivera with:
Aracelie Rivera United States
Zsuzsanna Orosz United States
Haiyan Xu United States
Ling Liu China
R. Garrett Morgan United States
Nirmala Hariharan United States
Nassim Dali‐Youcef France
Yukihiro Takemura Japan
Toyoki Maeda Japan
Glenda L. Evans United States
Kira Smith relative to Aracelie Rivera United States Aracelie Rivera's profile →
Citations per field
00.5×1.5×
Aracelie Rivera · 1×
Citations per year

Countries citing papers authored by Kira Smith

Since Specialization
Citations

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

Fields of papers citing papers by Kira Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2007289
2 2006228
3 2005190
4 2007180
5 2007177
6 2006127
7 2007118
8 200784
9 200681
10 201855
11 200743
12 200713
13 200711
14 20181
15 20061

About Kira Smith

Kira Smith is a scholar working on Molecular Biology, Physiology, Geriatrics and Gerontology, Surgery and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Adipose Tissue and Metabolism (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Bone Metabolism and Diseases (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Aging (98 citations), Geriatrics and Gerontology (186 citations), Biochemistry (155 citations), Physiology (480 citations) and Neurology (129 citations). Kira Smith has collaborated with scholars based in United States, Netherlands and Hungary. Frequent co-authors include Anna Csiszár, Zoltán Ungvári, Nazar Labinskyy, Aracelie Rivera, Zsuzsanna Orosz, Gabor Kaley, John G. Edwards, Zhao Xiangmin, Michael S. Wolin and Ákos Koller. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, The FASEB Journal, American Journal Of Pathology, Nature Medicine and Arteriosclerosis Thrombosis and Vascular Biology.

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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