Betsy Gregory

1.7k citations
30 papers · 1.4k · h-index 20

Impact in

Papers in

Betsy Gregory

30 papers receiving 1.4k citations

Peers

Betsy Gregory
Comparison fields: 5 of 124
  • Biotechnology 505
  • Physiology 112
  • Spectroscopy 272
  • Cancer Research 131
  • Molecular Biology 500
Replace Yaqi Chen with:
Yaqi Chen China
Jeffrey D. Varner United States
Kai‐Yao Huang Taiwan
Juhani T. Soini Finland
Yongliang Yang China
Lee Lancashire United Kingdom
Rachel Rowlinson United Kingdom
Xiao‐Jiang Feng United States
Małgorzata Kotulska Poland
Ilya Mazo United States
Betsy Gregory relative to Yaqi Chen China Yaqi Chen's profile →
Citations per field
00.5×10×16×
Yaqi Chen · 1×
Citations per year

Countries citing papers authored by Betsy Gregory

Since Specialization
Citations

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

Fields of papers citing papers by Betsy Gregory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003141
2 2003119
3 2014110
4 2013104
5 200491
6 201491
7 201090
8 201188
9 198986
10 200472
11 200266
12 201858
13 201341
14 201640
15 200538
16 202034
17 200333
18 202222
19 202120
20 202219

About Betsy Gregory

Betsy Gregory is a scholar working on Molecular Biology, Biotechnology, Spectroscopy, Health, Toxicology and Mutagenesis and Biomedical Engineering, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (9 papers), Advanced Proteomics Techniques and Applications (6 papers), Heat shock proteins research (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Molecular Biology Techniques and Applications (3 papers), Climate Change and Health Impacts (2 papers) and Magnetic and Electromagnetic Effects (2 papers). The work is most often cited by research in Biotechnology (505 citations), Physiology (112 citations), Spectroscopy (272 citations), Cancer Research (131 citations) and Molecular Biology (500 citations). Betsy Gregory has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Olga N. Pakhomova, Andrei G. Pakhomov, Antonia Vlahou, Iurii Semenov, John D. Catravas, Robert L. Coleman, John O. Schorge, George L. Wright, Christine Laronga and Shu Xiao. Their work appears in journals such as Clinical Breast Cancer, PLoS ONE, Cells, International Journal of Molecular Sciences and Journal of Cellular and Molecular Medicine.

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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