Danielle Lee Shepherd

23 papers receiving 1.0k citations

Peers

Danielle Lee Shepherd
Comparison fields: 5 of 87
  • Cancer Research 203
  • Geriatrics and Gerontology 44
  • Clinical Biochemistry 62
  • Molecular Biology 574
  • Health, Toxicology and Mutagenesis 111
Replace Dharendra Thapa with:
Dharendra Thapa United States
Cody Edward Nichols United States
Ying Tong China
Chenyang Duan China
Amina Kunovac United States
Lucia‐Doina Popov Romania
Junbo Ge China
Zhaoming Zhong China
Wensheng Chen China
Rainer Kiefmann Germany
Danielle Lee Shepherd relative to Dharendra Thapa United States Dharendra Thapa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danielle Lee Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Lee Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Lee Shepherd. 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 Danielle Lee Shepherd. The network helps show where Danielle Lee Shepherd may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 2015103
3 201977
4 201775
5 201374
6 201471
7 201458
8 201457
9 201755
10 201653
11 201744
12 201538
13 201837
14 201535
15 201332
16 202225
17 201924
18 201821
19 201711
20 20245

About Danielle Lee Shepherd

Danielle Lee Shepherd is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Molecular Biology, Physiology and Clinical Biochemistry, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), Cancer-related molecular mechanisms research (4 papers), Air Quality and Health Impacts (4 papers), Adipose Tissue and Metabolism (4 papers), MicroRNA in disease regulation (4 papers), Cardiovascular Function and Risk Factors (3 papers), RNA modifications and cancer (3 papers) and Nanoparticles: synthesis and applications (2 papers). The work is most often cited by research in Cancer Research (203 citations), Geriatrics and Gerontology (44 citations), Clinical Biochemistry (62 citations), Molecular Biology (574 citations) and Health, Toxicology and Mutagenesis (111 citations). Danielle Lee Shepherd has collaborated with scholars based in United States and Czechia. Frequent co-authors include John Michael Hollander, Dharendra Thapa, Cody Edward Nichols, Andrya Jean Durr, Sara E. Lewis, Tara L. Croston, Quincy Alexander Hathaway, Rajaganapathi Jagannathan, Mark V. Pinti and Walter Allen Baseler. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Molecular and Cellular Cardiology, Nanotoxicology, The FASEB Journal and American Journal of Physiology-Cell Physiology.

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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