Kelly Connolly
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Pharmacology
- Oncology
- Endocrine and Autonomic Systems
- Co-authors
- Margery C. BeinfeldR. Christopher PierceJohn ByrnesStephen DonahueDominic PicarellaDaesety VishnuvardhanJames E. MarchandKristan Meetze
- Topics
- Liver physiology and pathology (4 papers)Glycosylation and Glycoproteins Research (3 papers)Receptor Mechanisms and Signaling (3 papers)
- Journals
- Cancer ResearchThe Journal of Comparative NeurologyBiochemical and Biophysical Research Communications
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Kelly Connolly
12 papers receiving 304 citations
Peers
Comparison fields: 5 of 63
- Cellular and Molecular Neuroscience 140
- Molecular Biology 135
- Pharmacology 72
- Oncology 51
- Endocrine and Autonomic Systems 31
Countries citing papers authored by Kelly Connolly
This map shows the geographic impact of Kelly Connolly'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 Kelly Connolly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelly Connolly more than expected).
Fields of papers citing papers by Kelly Connolly
This network shows the impact of papers produced by Kelly Connolly. 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 Kelly Connolly. The network helps show where Kelly Connolly may publish in the future.
Co-authorship network of co-authors of Kelly Connolly
This figure shows the co-authorship network connecting the top 25 collaborators of Kelly Connolly. A scholar is included among the top collaborators of Kelly Connolly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kelly Connolly. Kelly Connolly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Abstract #1246: Preclinical efficacy and pharmacodynamics of SCH 900105 (AV-299), an anti-HGF antibody | 3 |
| 2 | Abstract #305: Knock-in of human HGF into the mouse genome maintains endogenous HGF regulation and supports the growth of HGF-dependent human cancer cell lines | 0 |
| 3 | 54 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | Preclinical antitumor activity with MLN8054, a small molecule Aurora A kinase inhibitor | 8 |
| 7 | 16 | |
| 8 | 45 | |
| 9 | 29 | |
| 10 | 26 | |
| 11 | 70 | |
| 12 | 13 | |
| 13 | 25 |
About Kelly Connolly
Kelly Connolly is a scholar working on Hepatology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 311 indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (140 citations), Toxicology (16 citations) and Endocrine and Autonomic Systems (31 citations). Kelly Connolly has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Margery C. Beinfeld, R. Christopher Pierce, John Byrnes, Stephen Donahue, Dominic Picarella, Daesety Vishnuvardhan, James E. Marchand, Kristan Meetze, Corinne Reimer and Laura A. Rudolph‐Owen. Their work appears in journals such as Cancer Research, The Journal of Comparative Neurology and Biochemical and Biophysical Research Communications.
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.