Ehtesham Iqbal

509 total citations
14 papers, 309 citations indexed

About

Ehtesham Iqbal is a scholar working on Molecular Biology, Toxicology and Psychiatry and Mental health. According to data from OpenAlex, Ehtesham Iqbal has authored 14 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Toxicology and 5 papers in Psychiatry and Mental health. Recurrent topics in Ehtesham Iqbal's work include Biomedical Text Mining and Ontologies (6 papers), Pharmacovigilance and Adverse Drug Reactions (5 papers) and Machine Learning in Healthcare (4 papers). Ehtesham Iqbal is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Pharmacovigilance and Adverse Drug Reactions (5 papers) and Machine Learning in Healthcare (4 papers). Ehtesham Iqbal collaborates with scholars based in United Kingdom, Israel and Norway. Ehtesham Iqbal's co-authors include Richard Dobson, Robert Stewart, Zina Ibrahim, Matthew Broadbent, Olubanké Dzahini, Honghan Wu, Daniel Bean, Caroline Johnston, Chandra Mouli Pandey and James H. MacCabe and has published in prestigious journals such as PLoS ONE, Scientific Reports and The British Journal of Psychiatry.

In The Last Decade

Ehtesham Iqbal

13 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ehtesham Iqbal United Kingdom	9	93	87	85	57	53	14	309
Olubanké Dzahini United Kingdom	15	65 0.7×	364 4.2×	78 0.9×	63 1.1×	43 0.8×	31	619
Zina Ibrahim United Kingdom	12	194 2.1×	60 0.7×	239 2.8×	61 1.1×	61 1.2×	32	598
Maryam Zolnoori United States	12	144 1.5×	31 0.4×	61 0.7×	19 0.3×	10 0.2×	53	383
Michael Ball United Kingdom	10	121 1.3×	202 2.3×	60 0.7×	23 0.4×	8 0.2×	12	545
Daniel R. Harris United States	11	55 0.6×	12 0.1×	131 1.5×	29 0.5×	8 0.2×	52	448
Sujan Perera United States	7	52 0.6×	9 0.1×	45 0.5×	73 1.3×	22 0.4×	10	246
Florelle Bellet France	9	15 0.2×	52 0.6×	38 0.4×	90 1.6×	28 0.5×	14	337
David J. Lewis Switzerland	12	16 0.2×	31 0.4×	49 0.6×	226 4.0×	56 1.1×	45	523
François Gueyffier France	12	31 0.3×	126 1.4×	31 0.4×	5 0.1×	12 0.2×	32	533
Michael Wittie United States	7	9 0.1×	24 0.3×	82 1.0×	30 0.5×	18 0.3×	7	315

Countries citing papers authored by Ehtesham Iqbal

Since Specialization

Citations

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

Fields of papers citing papers by Ehtesham Iqbal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehtesham Iqbal

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

All Works

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14 of 14 papers shown

Segev, Aviv, Risha Govind, Ebenezer Oloyede, et al.. (2024). Developing a validated methodology for identifying clozapine treatment periods in electronic health records. BMC Psychiatry. 24(1). 584–584.

Segev, Aviv, Ehtesham Iqbal, Theresa A. McDonagh, et al.. (2021). Clozapine-induced myocarditis: electronic health register analysis of incidence, timing, clinical markers and diagnostic accuracy. The British Journal of Psychiatry. 219(6). 644–651. 19 indexed citations

Iqbal, Ehtesham, Konstantinos Tsamakis, Pınar Soysal, et al.. (2021). Motor signs in Alzheimer's disease and vascular dementia: Detection through natural language processing, co-morbid features and relationship to adverse outcomes. Experimental Gerontology. 146. 111223–111223. 17 indexed citations

Iqbal, Ehtesham, Risha Govind, Olubanké Dzahini, et al.. (2020). The side effect profile of Clozapine in real world data of three large mental health hospitals. PLoS ONE. 15(12). e0243437–e0243437. 40 indexed citations

Wu, Hua, et al.. (2019). Efficiently Reusing Natural Language Processing Models for Phenotype Identification in Free-text Electronic Medical Records: Methodological Study. UCL Discovery (University College London). 1 indexed citations

Wu, Honghan, Karen Hodgson, Katherine I. Morley, et al.. (2019). Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification.. arXiv (Cornell University). 1 indexed citations

Wu, Honghan, Karen Hodgson, Katherine I. Morley, et al.. (2019). Efficient Reuse of Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: A Phenotype Embedding Approach. JMIR Medical Informatics. 7(4). e14782–e14782. 11 indexed citations

Kadra-Scalzo, Giouliana, Äthan Spiros, Hitesh Shetty, et al.. (2018). Predicting parkinsonism side-effects of antipsychotic polypharmacy prescribed in secondary mental healthcare. Journal of Psychopharmacology. 32(11). 1191–1196. 8 indexed citations

Bean, Daniel, Honghan Wu, Ehtesham Iqbal, et al.. (2017). Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records. Scientific Reports. 7(1). 16416–16416. 79 indexed citations

10.

Iqbal, Ehtesham, Daniel R. Rhodes, Honghan Wu, et al.. (2017). ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records. PLoS ONE. 12(11). e0187121–e0187121. 36 indexed citations

11.

Iqbal, Ehtesham, Caroline Johnston, Matthew Broadbent, et al.. (2017). Trajectories of dementia-related cognitive decline in a large mental health records derived patient cohort. PLoS ONE. 12(6). e0178562–e0178562. 28 indexed citations

12.

Pandey, Chandra Mouli, Zina Ibrahim, Honghan Wu, Ehtesham Iqbal, & Richard Dobson. (2017). Improving RNN with Attention and Embedding for Adverse Drug Reactions. 67–71. 18 indexed citations

13.

Wu, Honghan, Zina Ibrahim, Ehtesham Iqbal, & Richard Dobson. (2016). Predicting Adverse Events from Multiple and Dynamic Medication Episodes -a preliminary result in a large mental health registry. Research Portal (King's College London). 1 indexed citations

14.

Iqbal, Ehtesham, Richard Jackson, Michael Ball, et al.. (2015). Identification of Adverse Drug Events from Free Text Electronic Patient Records and Information in a Large Mental Health Case Register. PLoS ONE. 10(8). e0134208–e0134208. 50 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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