Lilly Toker

4.9k citations
19 papers · 4.0k indexed · 2 hit papers · h-index 13
Topics
Cholinesterase and Neurodegenerative Diseases (8 papers)Computational Drug Discovery Methods (6 papers)Paraoxonase enzyme and polymorphisms (4 papers)

In The Last Decade

Lilly Toker

19 papers receiving 3.9k citations

Hit Papers

Atomic Structure of Acetylcholinesterase from Torpedo cal...19912026200220141991200450010001.5k2.0k

Peers

Lilly Toker
Comparison fields: 5 of 111
  • Pharmacology 2.3k
  • Molecular Biology 1.5k
  • Computational Theory and Mathematics 1.3k
  • Organic Chemistry 1.1k
  • Plant Science 960
Replace Lawrence M. Schopfer with:
Lawrence M. Schopfer United States
Hay Dvir Israel
Yacov Ashani Israel
Irwin B. Wilson United States
Clarence A. Broomfield United States
Florian Nachon France
Kazuhiro Irie Japan
Marco Catto Italy
Francisco Orallo Spain
Michela Rosini Italy
Lilly Toker relative to Lawrence M. Schopfer United States Lawrence M. Schopfer's profile →
Citations per field
00.5×2.7×
Lawrence M. Schopfer · 1×
Citations per year

Countries citing papers authored by Lilly Toker

Since Specialization
Citations

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

Fields of papers citing papers by Lilly Toker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lilly Toker

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 10
3 35
4 76
5 9
6 37
7 27
8 95
9
Structure and evolution of the serum paraoxonase family of detoxifying and anti-atherosclerotic enzymesbreakdown →
501
10 49
11 217
12 234
13 2
14 263
15 7
16 7
17
Atomic Structure of Acetylcholinesterase from Torpedo californica : A Prototypic Acetylcholine-Binding Proteinbreakdown →
2244
18 92
19 100

About Lilly Toker

Lilly Toker is a scholar working on Clinical Biochemistry, Biochemistry and Pharmacology, having authored 19 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (8 papers), Computational Drug Discovery Methods (6 papers) and Paraoxonase enzyme and polymorphisms (4 papers). The work is most often cited by research in Pharmacology (2.3k citations), Clinical Biochemistry (556 citations) and Computational Theory and Mathematics (1.3k citations). Lilly Toker has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Israel Silman, Joel L. Sussman, Michal Harel, Felix Frolow, Adrian Goldman, Christian Oefner, Dan S. Tawfik, Leonid Gaidukov, Amir Aharoni and Hay Dvir. Their work appears in journals such as Science, 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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