Lisa Elkin

413 citations
13 papers · 325 · h-index 8

Impact in

Papers in

    • 14-3-3 protein interactions 2
    • Single-cell and spatial transcriptomics 1
    • Drug Transport and Resistance Mechanisms 4
    • Cancer Treatment and Pharmacology 2

Lisa Elkin

13 papers receiving 321 citations

Peers

Lisa Elkin
Comparison fields: 5 of 63
  • Biological Psychiatry 17
  • Pharmacology 54
  • Oncology 158
  • Pediatrics, Perinatology and Child Health 43
  • Genetics 22
Replace Tiffany Cho with:
Tiffany Cho Canada
Tatsuki Mochizuki Japan
Bryan D. Marks United States
Nandini C. Patel United States
Alessio Malacrida Italy
Susumu Tsujimoto Japan
G. Simone Italy
Adrian Stecuła United States
Mingxiao Yin China
Kristine Hole Norway
Lisa Elkin relative to Tiffany Cho Canada Tiffany Cho's profile →
Citations per field
00.5×3.3×
Tiffany Cho · 1×
Citations per year

Countries citing papers authored by Lisa Elkin

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Elkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201386
2 201584
3 200246
4 200928
5 201623
6 200016
7 20149
8 20178
9 20147
10 20157
11 20095
12 20163
13 20103

About Lisa Elkin

Lisa Elkin is a scholar working on Molecular Biology, Oncology, Genetics, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 325 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Cell Image Analysis Techniques (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Cancer Treatment and Pharmacology (2 papers), 14-3-3 protein interactions (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Single-cell and spatial transcriptomics (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Biological Psychiatry (17 citations), Pharmacology (54 citations), Oncology (158 citations), Pediatrics, Perinatology and Child Health (43 citations) and Genetics (22 citations). Lisa Elkin has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Matthew G. Soars, Tatyana Zvyaga, Mary Ellen Cvijic, A. David Rodrigues, Yurong Lai, Brian Kraybill, David O. Morgan, Justin D. Blethrow, Kevan M. Shokat and Paul C. Bridgman. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, SLAS DISCOVERY, Molecular Cancer Therapeutics, Journal of the American Chemical Society and Journal of Neurocytology.

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.

Explore authors with similar magnitude of impact