Ali Abbara

4.6k total citations · 1 hit paper
112 papers, 2.5k citations indexed

About

Ali Abbara is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ali Abbara has authored 112 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Reproductive Medicine, 35 papers in Molecular Biology and 28 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ali Abbara's work include Hypothalamic control of reproductive hormones (71 papers), Ovarian function and disorders (64 papers) and Plant Reproductive Biology (31 papers). Ali Abbara is often cited by papers focused on Hypothalamic control of reproductive hormones (71 papers), Ovarian function and disorders (64 papers) and Plant Reproductive Biology (31 papers). Ali Abbara collaborates with scholars based in United Kingdom, United States and Vietnam. Ali Abbara's co-authors include Waljit S. Dhillo, Alexander Comninos, Sophie Clarke, Channa Jayasena, Stephen R. Bloom, Chioma Izzi‐Engbeaya, Mohammad A. Ghatei, Edouard Mills, Gurjinder Nijher and Geoffrey Trew and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Ali Abbara

105 papers receiving 2.5k citations

Hit Papers

The prospect of artificial intelligence to personalize as... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ali Abbara United Kingdom 28 1.7k 803 535 420 267 112 2.5k
Alexander Comninos United Kingdom 28 1.6k 0.9× 774 1.0× 425 0.8× 663 1.6× 389 1.5× 103 2.6k
Channa Jayasena United Kingdom 33 2.2k 1.3× 1.1k 1.4× 675 1.3× 867 2.1× 509 1.9× 162 3.7k
H. P. G. Schneider Germany 28 854 0.5× 182 0.2× 480 0.9× 837 2.0× 416 1.6× 95 2.2k
Louisa Laue United States 25 619 0.4× 1.0k 1.3× 213 0.4× 765 1.8× 563 2.1× 36 2.7k
Akira Kuwahara Japan 30 1.6k 1.0× 360 0.4× 1.2k 2.2× 280 0.7× 217 0.8× 164 3.3k
Marco Palumbo Italy 25 775 0.5× 204 0.3× 681 1.3× 513 1.2× 287 1.1× 131 2.4k
Karen L. Herbst United States 31 429 0.3× 743 0.9× 282 0.5× 801 1.9× 327 1.2× 86 3.0k
Valérie Mitchell France 26 921 0.5× 636 0.8× 459 0.9× 123 0.3× 414 1.6× 80 1.9k
Kathryn A. Martin United States 26 1.7k 1.0× 661 0.8× 933 1.7× 988 2.4× 757 2.8× 46 2.9k
Takeshi Iwasa Japan 25 1.3k 0.7× 309 0.4× 433 0.8× 217 0.5× 215 0.8× 149 2.1k

Countries citing papers authored by Ali Abbara

Since Specialization
Citations

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

Fields of papers citing papers by Ali Abbara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Abbara

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

All Works

20 of 20 papers shown
1.
Nelson, Scott M., Artur Akbarov, Rehan Salim, et al.. (2025). Explainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conception. Nature Communications. 16(1). 296–296. 4 indexed citations
2.
Comninos, Alexander, et al.. (2025). Kisspeptin and neurokinin B: roles in reproductive health. Physiological Reviews. 105(2). 707–764. 4 indexed citations
3.
Mills, Edouard, Layla Thurston, Lisa Yang, et al.. (2025). Kisspeptin Administration Stimulates Reproductive Hormones but Does Not Affect Anxiety in Humans. The Journal of Clinical Endocrinology & Metabolism. 110(11). 3133–3141. 1 indexed citations
4.
Pedder, Hugo, Yana Vinogradova, Alexander Comninos, et al.. (2024). Factors affecting shared decision‐making concerning menopausal hormone therapy. Annals of the New York Academy of Sciences. 1538(1). 34–44. 3 indexed citations
5.
Young, Megan, et al.. (2024). Kisspeptin in functional hypothalamic amenorrhea: Pathophysiology and therapeutic potential. Annals of the New York Academy of Sciences. 1540(1). 21–46. 1 indexed citations
6.
Mills, Edouard, Ali Abbara, Waljit S. Dhillo, & Alexander Comninos. (2024). Interactions between kisspeptin and bone: Cellular mechanisms, clinical evidence, and future potential. Annals of the New York Academy of Sciences. 1540(1). 47–60.
7.
Abbara, Ali, et al.. (2024). Biomarkers to inform the management of polycystic ovary syndrome: A review of systematic reviews. Clinical Endocrinology. 101(5). 535–548.
9.
Clarke, Sophie, Pei Chia Eng, Alexander Comninos, et al.. (2024). Current Challenges and Future Directions in the Assessment of Glucocorticoid Status. Endocrine Reviews. 45(6). 795–817. 8 indexed citations
10.
Voliotis, Margaritis, Ali Abbara, Julia Prague, et al.. (2024). HormoneBayes: A novel Bayesian framework for the analysis of pulsatile hormone dynamics. PLoS Computational Biology. 20(2). e1011928–e1011928.
11.
Wattar, Bassel H. Al, Jhia Jiat Teh, Sophie Clarke, et al.. (2024). Healthcare and research priorities for women with polycystic ovary syndrome in the UK National Health Service: A modified Delphi method. Clinical Endocrinology. 100(5). 459–465. 2 indexed citations
12.
Mills, Edouard, Matthew B. Wall, Layla Thurston, et al.. (2023). Effects of Kisspeptin on Sexual Brain Processing and Penile Tumescence in Men With Hypoactive Sexual Desire Disorder. JAMA Network Open. 6(2). e2254313–e2254313. 21 indexed citations
13.
Dhillo, Waljit S., et al.. (2023). Assessing hypothalamic pituitary gonadal function in reproductive disorders. Clinical Science. 137(11). 863–879. 21 indexed citations
15.
Abbara, Ali, Sophie Adams, Maria Phylactou, et al.. (2023). Quantifying the variability in the assessment of reproductive hormone levels. Fertility and Sterility. 121(2). 334–345. 2 indexed citations
16.
Comninos, Alexander, Morten Steen Hansen, Sirazum Choudhury, et al.. (2022). Acute Effects of Kisspeptin Administration on Bone Metabolism in Healthy Men. The Journal of Clinical Endocrinology & Metabolism. 107(6). 1529–1540. 21 indexed citations
17.
Thurston, Layla, Edouard Mills, Matthew B. Wall, et al.. (2022). Melanocortin 4 receptor agonism enhances sexual brain processing in women with hypoactive sexual desire disorder. Journal of Clinical Investigation. 132(19). 13 indexed citations
18.
Voliotis, Margaritis, et al.. (2022). Quantitative approaches in clinical reproductive endocrinology. Current Opinion in Endocrine and Metabolic Research. 27. 100421–100421. 4 indexed citations
19.
Abbara, Ali, Sophie Clarke, Pei Chia Eng, et al.. (2020). Pharmacodynamic Response to Anti-thyroid Drugs in Graves' Hyperthyroidism. Frontiers in Endocrinology. 11. 286–286. 13 indexed citations
20.
Comninos, Alexander, Lisa Yang, Ali Abbara, et al.. (2018). Frequent falls and confusion: recurrent hypoglycemia in a patient with tuberous sclerosis complex. Clinical Case Reports. 6(5). 904–909. 8 indexed citations

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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