M. Al‐Memar

3.6k total citations
60 papers, 1.1k citations indexed

About

M. Al‐Memar is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, M. Al‐Memar has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Public Health, Environmental and Occupational Health, 20 papers in Pediatrics, Perinatology and Child Health and 16 papers in Obstetrics and Gynecology. Recurrent topics in M. Al‐Memar's work include Ectopic Pregnancy Diagnosis and Management (26 papers), Maternal and fetal healthcare (10 papers) and Ovarian cancer diagnosis and treatment (9 papers). M. Al‐Memar is often cited by papers focused on Ectopic Pregnancy Diagnosis and Management (26 papers), Maternal and fetal healthcare (10 papers) and Ovarian cancer diagnosis and treatment (9 papers). M. Al‐Memar collaborates with scholars based in United Kingdom, Belgium and Netherlands. M. Al‐Memar's co-authors include T. Bourne, D. Timmerman, S. Bobdiwala, Ben Van Calster, Srdjan Saso, J. Farren, Phillip R. Bennett, David A. MacIntyre, Ann Smith and N. Mitchell‐Jones and has published in prestigious journals such as The Lancet, PLoS ONE and American Journal of Obstetrics and Gynecology.

In The Last Decade

M. Al‐Memar

54 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Al‐Memar United Kingdom	18	483	328	285	264	192	60	1.1k
Andrea Roberto Carosso Italy	19	491 1.0×	271 0.8×	406 1.4×	403 1.5×	51 0.3×	56	1.1k
Robert J. Brescia United States	19	371 0.8×	228 0.7×	283 1.0×	218 0.8×	79 0.4×	25	1.4k
Courtney A. Schreiber United States	23	1.3k 2.7×	762 2.3×	524 1.8×	239 0.9×	60 0.3×	119	1.6k
S. Bobdiwala United Kingdom	14	347 0.7×	176 0.5×	113 0.4×	53 0.2×	76 0.4×	39	609
Sue Seen Tsing Lo Hong Kong	20	263 0.5×	170 0.5×	155 0.5×	173 0.7×	31 0.2×	50	1.1k
Gillian Flett United Kingdom	22	1.3k 2.6×	644 2.0×	697 2.4×	270 1.0×	67 0.3×	35	1.5k
Lori A. Boardman United States	18	255 0.5×	141 0.4×	221 0.8×	138 0.5×	88 0.5×	63	1.1k
Kathleen McNamee Australia	16	389 0.8×	235 0.7×	175 0.6×	99 0.4×	119 0.6×	57	969
Lynn Borgatta United States	22	730 1.5×	644 2.0×	473 1.7×	108 0.4×	49 0.3×	76	1.5k
Maeve Eogan Ireland	15	209 0.4×	223 0.7×	283 1.0×	74 0.3×	21 0.1×	63	831

Countries citing papers authored by M. Al‐Memar

Since Specialization

Citations

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

Fields of papers citing papers by M. Al‐Memar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Al‐Memar. 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 M. Al‐Memar. The network helps show where M. Al‐Memar may publish in the future.

Co-authorship network of co-authors of M. Al‐Memar

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

All Works

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20 of 20 papers shown

Murugesu, Sughashini, Alex Novak, C. Stalder, et al.. (2025). Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models. BMC Pregnancy and Childbirth. 25(1). 225–225.

Sadigh, Sam, Nishat Bharwani, S. Sur, et al.. (2025). Clinical utility of ultrasonography in pediatric and adolescent gynecology: retrospective review of 1313 ultrasound examinations. Ultrasound in Obstetrics and Gynecology. 65(2). 226–234. 2 indexed citations

Al‐Memar, M., et al.. (2024). The ‘onion skin’ sign of a low‐grade appendiceal mucinous neoplasm: An incidental finding during early pregnancy assessment. Australasian Journal of Ultrasound in Medicine. 27(2). 131–135.

Landolfo, C., M. Al‐Memar, N. John Cooper, et al.. (2024). Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound. npj Precision Oncology. 8(1). 41–41. 8 indexed citations

Al‐Memar, M., Thibaut Vaulet, Kim Lawson, et al.. (2023). Using simple clinical and ultrasound variables to develop a model to predict first trimester pregnancy viability. European Journal of Obstetrics & Gynecology and Reproductive Biology. 292. 187–193.

Bobdiwala, S., et al.. (2023). OC04.03: Does a negative urine pregnancy test exclude ectopic pregnancy in women classified with a pregnancy of unknown location?. Ultrasound in Obstetrics and Gynecology. 62(S1). 9–9. 1 indexed citations

Kasaven, Lorraine, Benjamin P. Jones, M. Al‐Memar, et al.. (2022). Fertility Sparing Surgery and Borderline Ovarian Tumours. Cancers. 14(6). 1485–1485. 9 indexed citations

Farren, J., Maria Jalmbrant, N. Mitchell‐Jones, et al.. (2022). Prognostic factors for post-traumatic stress, anxiety and depression in women after early pregnancy loss: a multi-centre prospective cohort study. BMJ Open. 12(3). e054490–e054490. 13 indexed citations

Vaulet, Thibaut, M. Al‐Memar, S. Bobdiwala, et al.. (2021). Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy. Computer Methods and Programs in Biomedicine. 213. 106520–106520. 13 indexed citations

10.

Stalder, C., et al.. (2021). Time‐effectiveness and convenience of transvaginal ultrasound probe disinfection using ultraviolet vs chlorine dioxide multistep wipe system: prospective survey study. Ultrasound in Obstetrics and Gynecology. 60(1). 132–138. 4 indexed citations

11.

Farren, J., Maria Jalmbrant, N. Mitchell‐Jones, et al.. (2020). Differences in post‐traumatic stress, anxiety and depression following miscarriage or ectopic pregnancy between women and their partners: multicenter prospective cohort study. Ultrasound in Obstetrics and Gynecology. 57(1). 141–148. 35 indexed citations

12.

Christodoulou, Evangelia, S. Bobdiwala, J. Farren, et al.. (2020). External validation of models to predict the outcome of pregnancies of unknown location: a multicentre cohort study. BJOG An International Journal of Obstetrics & Gynaecology. 128(3). 552–562. 13 indexed citations

13.

Antonopoulos, Aristotelis, Paola Grassi, Poh‐Choo Pang, et al.. (2020). Insights into the hyperglycosylation of human chorionic gonadotropin revealed by glycomics analysis. PLoS ONE. 15(2). e0228507–e0228507. 16 indexed citations

14.

Galazis, Nicolas, Srdjan Saso, Flavia Sorbi, et al.. (2020). Intraoperative Ultrasound during Fertility-Sparing Surgery: A Systematic Review and Practical Applications. Gynecologic and Obstetric Investigation. 85(2). 127–148. 9 indexed citations

15.

Farren, J., Maria Jalmbrant, N. Mitchell‐Jones, et al.. (2019). Posttraumatic stress, anxiety and depression following miscarriage and ectopic pregnancy: a multicenter, prospective, cohort study. American Journal of Obstetrics and Gynecology. 222(4). 367.e1–367.e22. 157 indexed citations

16.

Al‐Memar, M., Srdjan Saso, S. Bobdiwala, et al.. (2017). Validation of a virtual reality simulator for the use of transvaginal ultrasonography in gynaecology and early pregnancy. Australasian Journal of Ultrasound in Medicine. 20(3). 97–105. 6 indexed citations

17.

Shah, H., et al.. (2017). The first-trimester fetal central nervous system: a novel ultrasonographic perspective. American Journal of Obstetrics and Gynecology. 217(2). 220–221. 6 indexed citations

18.

Bobdiwala, S., J. Farren, N. Mitchell‐Jones, et al.. (2016). P19.03: A multicentre trial on the performance and complications of a two‐step triage protocol based on initial serum progesterone and serial serum hCG to manage pregnancy of unknown location (PUL). Ultrasound in Obstetrics and Gynecology. 48(S1). 227–227. 1 indexed citations

19.

Bobdiwala, S., Sharmistha Guha, Ben Van Calster, et al.. (2016). The clinical performance of the M4 decision support model to triage women with a pregnancy of unknown location as at low or high risk of complications. Human Reproduction. 31(7). 1425–1435. 23 indexed citations

20.

Sayasneh, Ahmad, B. De Cock, Srdjan Saso, et al.. (2016). Evaluating the risk of ovarian cancer before surgery using the ADNEX model: a multicentre external validation study. British Journal of Cancer. 115(5). 542–548. 62 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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