Lissa Baird

2.1k citations
50 papers · 934 · h-index 19

Impact in

Papers in

Lissa Baird

47 papers receiving 919 citations

Peers

Lissa Baird
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 237
  • Neurology 125
  • Pediatrics, Perinatology and Child Health 108
  • Genetics 164
  • Genetics 49
Replace Frank A. Billson with:
Frank A. Billson Australia
A. Hori Germany
Neil Stoodley United Kingdom
Ivan I. Kirov United States
Monika Bekiesińska‐Figatowska Poland
Roxana Gunny United Kingdom
İbrahim Sacit Tuna United States
Caitlin Hoffman United States
Deborah A. Sival Netherlands
Manoj Kumar India
Lissa Baird relative to Frank A. Billson Australia Frank A. Billson's profile →
Citations per field
00.5×8.5×
Frank A. Billson · 1×
Citations per year

Countries citing papers authored by Lissa Baird

Since Specialization
Citations

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

Fields of papers citing papers by Lissa Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998103
2 201461
3 201459
4 201153
5 201149
6 201646
7 201044
8 201443
9 201442
10 201035
11 201433
12 201631
13 201630
14 202227
15 201624
16
The use of topical epidermal growth factor for treatment of nonhealing corneal erosions in dogs
199122
17 201922
18 201421
19 201119
20 200616

About Lissa Baird

Lissa Baird is a scholar working on Genetics, Cellular and Molecular Neuroscience, Neurology, Pediatrics, Perinatology and Child Health and Surgery, having authored 50 papers that have together received 934 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Cerebrospinal fluid and hydrocephalus (9 papers), Craniofacial Disorders and Treatments (5 papers), Fetal and Pediatric Neurological Disorders (5 papers), Meningioma and schwannoma management (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Spinal Dysraphism and Malformations (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (237 citations), Neurology (125 citations), Pediatrics, Perinatology and Child Health (108 citations), Genetics (164 citations) and Genetics (49 citations). Lissa Baird has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ann Marie Flannery, Paul Klimo, Catherine A. Mazzola, Michael L. Levy, Mandeep S. Tamber, Dimitrios C. Nikas, Clinton J. Thompson, David D. Limbrick, Laura Mitchell and David F. Bauer. Their work appears in journals such as Journal of Neurosurgery Pediatrics, Neurosurgery, Child s Nervous System, Neuro-Oncology and World Neurosurgery.

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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