Maria Li

1.2k citations
15 papers · 912 · h-index 11

Impact in

Papers in

Maria Li

15 papers receiving 908 citations

Peers

Maria Li
Comparison fields: 5 of 84
  • Insect Science 401
  • Developmental Neuroscience 94
  • Cellular and Molecular Neuroscience 343
  • Ecology 258
  • Genetics 176
Replace Jonathan C. Radford with:
Jonathan C. Radford United Kingdom
Hirofumi Noguchi Japan
Amelia Younossi‐Hartenstein United States
Kuniaki Takahashi Japan
David A. Willoughby United States
Qingzhong Ren United States
Graham Huesmann United States
Andreas Ratzka Germany
Sophie Layalle France
Lesley S. Swales United Kingdom
Maria Li relative to Jonathan C. Radford United Kingdom Jonathan C. Radford's profile →
Citations per field
00.5×2.8×
Jonathan C. Radford · 1×
Citations per year

Countries citing papers authored by Maria Li

Since Specialization
Citations

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

Fields of papers citing papers by Maria Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013224
2 2013171
3 1996155
4 201280
5 201352
6 201651
7 201349
8 201636
9 201329
10 201022
11 200621
12 199610
13 19918
14 20172
15 20112

About Maria Li

Maria Li is a scholar working on Ecology, Cellular and Molecular Neuroscience, Insect Science, Molecular Biology and Developmental Neuroscience, having authored 15 papers that have together received 912 indexed citations. Recurring topics across this work include Forest Insect Ecology and Management (7 papers), Insect and Pesticide Research (4 papers), Plant biochemistry and biosynthesis (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Nerve injury and regeneration (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Spinal Dysraphism and Malformations (1 paper). The work is most often cited by research in Insect Science (401 citations), Developmental Neuroscience (94 citations), Cellular and Molecular Neuroscience (343 citations), Ecology (258 citations) and Genetics (176 citations). Maria Li has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Christopher I. Keeling, Hannah Henderson, Macaire M. S. Yuen, Steven J.M. Jones, Stanley B. Kater, Lisa McKerracher, Annemarie Shibata, Chumei Li, Peter E. Braun and Roderick Docking. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, BMC Genomics, Neurosurgery and Genome biology.

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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