Lidia V. Gabis

2.3k citations
68 papers · 1.3k indexed · h-index 22

Lidia V. Gabis

66 papers receiving 1.3k citations

Peers

Lidia V. Gabis
Comparison fields: 5 of 114
  • Psychiatry and Mental health 395
  • Cognitive Neuroscience 473
  • Pediatrics, Perinatology and Child Health 344
  • Internal Medicine 43
  • Clinical Psychology 240
Replace Rob Rodrigues Pereira with:
Rob Rodrigues Pereira Netherlands
Wael Shamseddeen Lebanon
D Nagaraja India
Hubertus von Voß Germany
Gail E. Solomon United States
Hideki Nakano Japan
R. Michaelis Germany
Tali Vishne Israel
Bettina Knight United States
Chin‐Bin Yeh Taiwan
Lidia V. Gabis relative to Rob Rodrigues Pereira Netherlands Rob Rodrigues Pereira's profile →
Citations per field
00.5×10.8×
Rob Rodrigues Pereira · 1×
Citations per year

Countries citing papers authored by Lidia V. Gabis

Since Specialization
Citations

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

Fields of papers citing papers by Lidia V. Gabis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lidia V. Gabis. 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 Lidia V. Gabis. The network helps show where Lidia V. Gabis may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 202113
4 202115
5 202127
6 20202
7 20209
8 201919
9 20199
10 201921
11
[FMR1 PREMUTATION CARRIERS - ARE THEY REALLY ASYMPTOMATIC?]
20181
12 20182
13 20166
14 201676
15 201432
16 201219
17 201140
18 201127
19 200959
20 200851

About Lidia V. Gabis

Lidia V. Gabis is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (34 papers), Genetics and Neurodevelopmental Disorders (15 papers), Child Nutrition and Feeding Issues (13 papers), Family and Disability Support Research (11 papers), Infant Development and Preterm Care (9 papers), Child Development and Digital Technology (8 papers), Attention Deficit Hyperactivity Disorder (7 papers) and Neonatal and fetal brain pathology (5 papers). The work is most often cited by research in Psychiatry and Mental health (395 citations), Cognitive Neuroscience (473 citations) and Pediatrics, Perinatology and Child Health (344 citations). Lidia V. Gabis has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Raanan Raz, Nicholas J. Lenn, Shahar Shefer, Ravi Yangala, John Pomeroy, Mary R. Andriola, Liora Findler, Orit Bart, Iris Morag and Liat Lerner‐Geva. Their work appears in journals such as PLoS ONE, PEDIATRICS and The Journal of Pediatrics.

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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