Val Abbassi

893 citations
26 papers · 742 · h-index 12

Impact in

Papers in

Val Abbassi

26 papers receiving 663 citations

Peers

Val Abbassi
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 297
  • Endocrine and Autonomic Systems 68
  • Genetics 177
  • Pediatrics, Perinatology and Child Health 109
  • Reproductive Medicine 49
Replace Makoto Anzo with:
Makoto Anzo Japan
Cecilia Volta Italy
Bettina C. Gohlke Germany
Zeynep Atay Türkiye
K. O. NILSSON Sweden
Greet L. Roef Belgium
Lee A. Rigg United States
Sharon H. Travers United States
Adalberto Parra Mexico
LODOVICO BENSO Italy
Val Abbassi relative to Makoto Anzo Japan Makoto Anzo's profile →
Citations per field
00.5×2×3.1×
Makoto Anzo · 1×
Citations per year

Countries citing papers authored by Val Abbassi

Since Specialization
Citations

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

Fields of papers citing papers by Val Abbassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998220
2 1984104
3 199268
4 198546
5 199446
6 197733
7 201031
8 199427
9 198020
10 198417
11 197817
12 199512
13 198412
14 198611
15 199611
16 198211
17 196711
18 198010
19 19918
20 19846

About Val Abbassi

Val Abbassi is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems, Reproductive Medicine and Genetics, having authored 26 papers that have together received 742 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (10 papers), Diabetes and associated disorders (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Diabetes Management and Research (3 papers), Neonatal Health and Biochemistry (3 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Neonatal Respiratory Health Research (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (297 citations), Endocrine and Autonomic Systems (68 citations), Genetics (177 citations), Pediatrics, Perinatology and Child Health (109 citations) and Reproductive Medicine (49 citations). Val Abbassi has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include Joseph A. Bellanti, Douglas O. Sobel, John W. Scanlon, Carolyn R. Aldigé, C. Ewel, Kenneth C. Copeland, Martin B. Draznin, Thomas P. Foley, Owen C. Blair and Karen M. Creswell. Their work appears in journals such as Pediatric Research, The Journal of Pediatrics, Diabetes, PEDIATRICS and The Lancet.

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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