Leah J. Siskind

4.3k citations
63 papers · 3.3k indexed · h-index 31
Topics
Sphingolipid Metabolism and Signaling (31 papers)Chemotherapy-induced organ toxicity mitigation (17 papers)Lipid Membrane Structure and Behavior (14 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Leah J. Siskind

60 papers receiving 3.2k citations

Peers

Leah J. Siskind
Comparison fields: 5 of 106
  • Molecular Biology 2.5k
  • Cell Biology 436
  • Pathology and Forensic Medicine 432
  • Physiology 430
  • Epidemiology 349
Replace Rebecca P. Hughey with:
Rebecca P. Hughey United States
Colin Reily United States
Jane McHowat United States
Kohji Hanasaki Japan
Ralf M. Zwacka United States
Tobias B. Dansen Netherlands
Kerry S. Russell United States
Zhongjian Zhang United States
Ingeborg Hers United Kingdom
Robert A. Orlando United States
Leah J. Siskind relative to Rebecca P. Hughey United States Rebecca P. Hughey's profile →
Citations per field
00.5×4.4×
Rebecca P. Hughey · 1×
Citations per year

Countries citing papers authored by Leah J. Siskind

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Leah J. Siskind

This figure shows the co-authorship network connecting the top 25 collaborators of Leah J. Siskind. A scholar is included among the top collaborators of Leah J. Siskind 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 Leah J. Siskind. Leah J. Siskind is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 16
3 7
4 19
5 4
6 14
7 41
8 49
9 14
10 107
11 17
12 29
13 32
14 36
15 104
16 159
17 108
18 195
19 73
20 304

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) and Lipid Membrane Structure and Behavior (14 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.

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