Donna Conlon

1.7k citations
33 papers · 1.3k indexed · h-index 19

Donna Conlon

33 papers receiving 1.2k citations

Peers

Donna Conlon
Comparison fields: 5 of 98
  • Biochemistry 116
  • Endocrinology, Diabetes and Metabolism 195
  • Rheumatology 149
  • Cell Biology 153
  • Molecular Biology 601
Replace J. K. Burmester with:
J. K. Burmester United States
Francis Vacherot France
Susanne Gansauge Germany
Jack Leslie United Kingdom
Yasuko Nishizawa Japan
Yoshihiro Hashimoto Japan
Ulrich Marti Switzerland
Hanako Kobayashi United States
Chang Hun Rhee South Korea
Ma Carmen Durán-Ruiz Spain
Donna Conlon relative to J. K. Burmester United States J. K. Burmester's profile →
Citations per field
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Citations per year

Countries citing papers authored by Donna Conlon

Since Specialization
Citations

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

Fields of papers citing papers by Donna Conlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20246
3 20237
4 202315
5 202219
6 202128
7 202163
8 202118
9 201928
10
Abstract 18960: RNA-binding Protein A1CF Modulates Plasma Triglyceride Levels Through Transcriptomic Regulation of Stress-Induced VLDL Secretion
20171
11 201548
12 201512
13 201416
14 201287
15 201166
16 200621
17 2006133
18
Bis-naphthalimides 3: synthesis and antitumor activity of N,N'-bis[2-(1,8-naphthalimido)-ethyl] alkanediamines.
199625
19 199423
20 1992130

About Donna Conlon

Donna Conlon is a scholar working on Biochemistry, Aging, Cell Biology, Toxicology and Rheumatology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (8 papers), Lipid metabolism and biosynthesis (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Pancreatic function and diabetes (5 papers), Cancer therapeutics and mechanisms (4 papers), Bone and Dental Protein Studies (3 papers), Autophagy in Disease and Therapy (3 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Biochemistry (116 citations), Endocrinology, Diabetes and Metabolism (195 citations), Rheumatology (149 citations), Cell Biology (153 citations) and Molecular Biology (601 citations). Donna Conlon has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Henry N. Ginsberg, Antonio Hernández‐Ono, Gary S. Stein, Jane B. Lian, Melissa S. Tassinari, Jane B. Lian, Cheryl O. Quinn, Nicola C. Partridge, Shirwin M. Pockwinse and Victoria Shalhoub. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cellular Biochemistry, Journal of Clinical Investigation, Med and Nutrition and Diabetes.

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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