Leila T. Alexander

880 citations
11 papers · 482 indexed · h-index 10
Topics
Cancer Mechanisms and Therapy (3 papers)Nanopore and Nanochannel Transport Studies (3 papers)Quantum-Dot Cellular Automata (3 papers)

In The Last Decade

Leila T. Alexander

11 papers receiving 479 citations

Peers

Leila T. Alexander
Comparison fields: 5 of 68
  • Molecular Biology 352
  • Biomedical Engineering 115
  • Oncology 101
  • Electrical and Electronic Engineering 41
  • Cancer Research 38
Replace Rachel Yuan Nong with:
Rachel Yuan Nong Sweden
Agnieszka Girstun Poland
Michael S. Guerrero United States
Shirley H. Lomeli United States
Matthew R. Clutter United States
Aleš Holoubek Czechia
Ziad J. Sahab United States
Jonathan Zorea Israel
O. O. Ryabaya Russia
Hyo-Eun Carrie Bhang United States
Leila T. Alexander relative to Rachel Yuan Nong Sweden Rachel Yuan Nong's profile →
Citations per field
00.5×2.7×
Rachel Yuan Nong · 1×
Citations per year

Countries citing papers authored by Leila T. Alexander

Since Specialization
Citations

This map shows the geographic impact of Leila T. Alexander'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 Leila T. Alexander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leila T. Alexander more than expected).

Fields of papers citing papers by Leila T. Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leila T. Alexander. 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 Leila T. Alexander. The network helps show where Leila T. Alexander may publish in the future.

Co-authorship network of co-authors of Leila T. Alexander

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 9
2 17
3 44
4 29
5 28
6 76
7 8
8 83
9 22
10 117
11 49

About Leila T. Alexander

Leila T. Alexander is a scholar working on Computational Theory and Mathematics, Pathology and Forensic Medicine and Animal Science and Zoology, having authored 11 papers that have together received 482 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (3 papers), Nanopore and Nanochannel Transport Studies (3 papers) and Quantum-Dot Cellular Automata (3 papers). The work is most often cited by research in Molecular Biology (352 citations), Oncology (101 citations) and Biomedical Engineering (115 citations). Leila T. Alexander has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Stefan Knapp, Hagan Bayley, Nicola Zamboni, Stephen Cheley, Peter Drueckes, Oleg Fedorov, Charlotte M. Deane, Jonathan M. Elkins, Sandra W. Cowan‐Jacob and P. Savitsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and ACS Nano.

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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