Leah J. Siskind
- Molecular Biology top 5%
- Sphingolipid Metabolism and Signaling 31
- Lipid Membrane Structure and Behavior 14
- Cell death mechanisms and regulation 6
- Nephrology top 2%
- Acute Kidney Injury Research 8
- Cell Biology top 5%
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- Chemotherapy-induced organ toxicity mitigation 17
- Biomedical Research and Pathophysiology 5
- Biochemistry top 5%
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- Acute Lymphoblastic Leukemia research 7
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- Neuroscience and Neuropharmacology Research 5
- Co-authors
- Marco ColombiniRichard KolesnickLevi J. BeverlyCierra N. SharpLina M. ObeidJerry E. ChipukAimee L. EdingerGauri A. Patwardhan
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Leah J. Siskind
60 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.5k
- Nephrology 250
- Cell Biology 436
- Pathology and Forensic Medicine 432
- Biochemistry 166
Countries citing papers authored by Leah J. Siskind
This map shows the geographic impact of Leah J. Siskind'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 Leah J. Siskind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leah J. Siskind more than expected).
Fields of papers citing papers by Leah J. Siskind
This network shows the impact of papers produced by Leah J. Siskind. 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 Leah J. Siskind. The network helps show where Leah J. Siskind may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leah J. Siskind, 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 | 2025 | 0 | |
| 2 | 2024 | 16 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 19 | |
| 5 | 2020 | 4 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 41 | |
| 8 | 2015 | 49 | |
| 9 | 2015 | 14 | |
| 10 | 2015 | 107 | |
| 11 | 2013 | 17 | |
| 12 | 2013 | 29 | |
| 13 | 2012 | 32 | |
| 14 | 2011 | 36 | |
| 15 | 2010 | 104 | |
| 16 | 2008 | 159 | |
| 17 | 2008 | 108 | |
| 18 | 2006 | 195 | |
| 19 | 2003 | 73 | |
| 20 | 2002 | 304 |
About Leah J. Siskind
Leah J. Siskind is a scholar working on Nephrology, Pathology and Forensic Medicine and Molecular Biology, having authored 63 papers that have together received 3.3k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (31 papers), Chemotherapy-induced organ toxicity mitigation (17 papers), Lipid Membrane Structure and Behavior (14 papers), Acute Kidney Injury Research (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Cell death mechanisms and regulation (6 papers), Biomedical Research and Pathophysiology (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Nephrology (250 citations) and Cell Biology (436 citations). Leah J. Siskind has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Marco Colombini, Richard Kolesnick, Levi J. Beverly, Cierra N. Sharp, Lina M. Obeid, Jerry E. Chipuk, Aimee L. Edinger, Gauri A. Patwardhan, Parag P. Shah and Tomomi Kuwana. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.