Marci E. Schaner
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Epigenetics and DNA Methylation 1
-
- Adenosine and Purinergic Signaling 5
- Co-authors
- Kathleen M. Giacomini (3 shared papers)Lei Zhang (1 shared paper)Juan Wang (4 shared papers)Kathleen M. Giacomini (4 shared papers)Gunnar B. Kristensen (5 shared papers)Patrick O. Brown (3 shared papers)Åslaug Helland (3 shared papers)Sheng‐Fang Su (3 shared papers)
- Journals
- Pharmaceutical Research (3 papers)PLoS ONE (2 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)American Journal of Physiology-Renal Physiology (1 paper)Advanced Drug Delivery Reviews (1 paper)
- Partner nations
- United StatesNorwayCanada
In The Last Decade
Marci E. Schaner
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Physiology 198
- Cancer Research 331
- Oncology 332
- Transplantation 32
- Biochemistry 74
Countries citing papers authored by Marci E. Schaner
This map shows the geographic impact of Marci E. Schaner'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 Marci E. Schaner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marci E. Schaner more than expected).
Fields of papers citing papers by Marci E. Schaner
This network shows the impact of papers produced by Marci E. Schaner. 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 Marci E. Schaner. The network helps show where Marci E. Schaner may publish in the future.
Co-authors
The 25 scholars most cited alongside Marci E. Schaner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 485 | |
| 2 | 1998 | 144 | |
| 3 | 1997 | 108 | |
| 4 | 1997 | 82 | |
| 5 | 2009 | 53 | |
| 6 | 2005 | 41 | |
| 7 | 1997 | 32 | |
| 8 | Minimizing off-target effects by using diced siRNAs for RNA interference. | 2006 | 28 |
| 9 | 1999 | 25 | |
| 10 | 2004 | 24 | |
| 11 | 1997 | 22 | |
| 12 | 2005 | 22 | |
| 13 | 2013 | 17 | |
| 14 | 1999 | 12 | |
| 15 | 2004 | 11 |
About Marci E. Schaner
Marci E. Schaner is a scholar working on Molecular Biology, Physiology, Oncology, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (5 papers), Drug Transport and Resistance Mechanisms (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Neurological Complications and Syndromes (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Physiology (198 citations), Cancer Research (331 citations), Oncology (332 citations), Transplantation (32 citations) and Biochemistry (74 citations). Marci E. Schaner has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Kathleen M. Giacomini, Lei Zhang, Juan Wang, Kathleen M. Giacomini, Gunnar B. Kristensen, Patrick O. Brown, Åslaug Helland, Sheng‐Fang Su, Jen‐Tsan Chi and Anne‐Lise Børresen‐Dale. Their work appears in journals such as Pharmaceutical Research, PLoS ONE, Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Renal Physiology and Advanced Drug Delivery Reviews.
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.