J. Karim

671 total citations · 1 hit paper
14 papers, 337 citations indexed

About

J. Karim is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Infectious Diseases. According to data from OpenAlex, J. Karim has authored 14 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pediatrics, Perinatology and Child Health, 3 papers in Obstetrics and Gynecology and 2 papers in Infectious Diseases. Recurrent topics in J. Karim's work include Prenatal Screening and Diagnostics (12 papers), Fetal and Pediatric Neurological Disorders (8 papers) and Pregnancy and preeclampsia studies (2 papers). J. Karim is often cited by papers focused on Prenatal Screening and Diagnostics (12 papers), Fetal and Pediatric Neurological Disorders (8 papers) and Pregnancy and preeclampsia studies (2 papers). J. Karim collaborates with scholars based in United Kingdom, France and Netherlands. J. Karim's co-authors include Aris T. Papageorghiou, Nia Roberts, L. J. Salomon, Argyro Syngelaki, Karl Oliver Kagan, K. H. Nicolaides, Caterina M. Bilardo, Rabih Chaoui, Jon Hyett and Liona C. Poon and has published in prestigious journals such as PLoS Medicine, BJOG An International Journal of Obstetrics & Gynaecology and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

J. Karim

11 papers receiving 330 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ISUOG Practice Guidelines (updated): performance of 11–14‐week ultrasound scan

2023 87 citations Caterina M. Bilardo, Rabih Chaoui et al. Ultrasound in Obstetrics and Gynecology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Karim United Kingdom	5	248	100	82	63	35	14	337
Sara Goldman United States	8	219 0.9×	169 1.7×	61 0.7×	92 1.5×	69 2.0×	15	366
Marcin Wiecheć Poland	10	188 0.8×	106 1.1×	124 1.5×	142 2.3×	31 0.9×	44	415
A. Comanescu Romania	7	126 0.5×	58 0.6×	66 0.8×	49 0.8×	19 0.5×	30	229
Agnieszka Nocuń Poland	9	92 0.4×	82 0.8×	163 2.0×	71 1.1×	30 0.9×	33	325
E. Mavrides United Kingdom	9	308 1.2×	182 1.8×	136 1.7×	120 1.9×	86 2.5×	10	427
Bernat Serra Spain	10	328 1.3×	61 0.6×	233 2.8×	20 0.3×	61 1.7×	35	453
Lami Yeo United States	12	297 1.2×	76 0.8×	162 2.0×	28 0.4×	55 1.6×	24	364
Helle Zingenberg Denmark	10	237 1.0×	69 0.7×	114 1.4×	131 2.1×	32 0.9×	34	425
Ren-Ing Liang Taiwan	9	291 1.2×	151 1.5×	190 2.3×	84 1.3×	15 0.4×	13	504
M. Torrents Spain	9	270 1.1×	115 1.1×	138 1.7×	28 0.4×	57 1.6×	22	345

Countries citing papers authored by J. Karim

Since Specialization

Citations

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

Fields of papers citing papers by J. Karim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Karim

This figure shows the co-authorship network connecting the top 25 collaborators of J. Karim. A scholar is included among the top collaborators of J. Karim 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 J. Karim. J. Karim 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

Campbell, Helen, et al.. (2025). Evaluating the Cost‐Effectiveness of Antenatal Screening for Major Structural Anomalies During the First Trimester of Pregnancy: A Decision Model. BJOG An International Journal of Obstetrics & Gynaecology. 132(5). 638–647.

Karim, J., et al.. (2025). Impact of first-trimester ultrasound on early detection of major fetal anomalies: Nationwide population-based study of over 1 million pregnancies. PLoS Medicine. 22(11). e1004709–e1004709.

Karim, J., et al.. (2024). Detection of non‐cardiac fetal abnormalities on ultrasound at 11–14 weeks: systematic review and meta‐analysis. Ultrasound in Obstetrics and Gynecology. 64(1). 15–27. 4 indexed citations

Bilardo, Caterina M., Rabih Chaoui, Jon Hyett, et al.. (2023). ISUOG Practice Guidelines (updated): performance of 11–14‐week ultrasound scan. Ultrasound in Obstetrics and Gynecology. 61(1). 127–143. 87 indexed citations breakdown →

Drukker, Lior, Harshita Sharma, J. Karim, et al.. (2022). Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep‐learning‐based analysis. Ultrasound in Obstetrics and Gynecology. 60(6). 759–765. 17 indexed citations

Karim, J., et al.. (2021). First‐trimester ultrasound detection of fetal heart anomalies: systematic review and meta‐analysis. Ultrasound in Obstetrics and Gynecology. 59(1). 11–25. 65 indexed citations

Karim, J., Sanne J. Gordijn, & Aris T. Papageorghiou. (2021). OC18.08: Developing a first trimester anomaly screening protocol for the UK: a consensus procedure. Ultrasound in Obstetrics and Gynecology. 58(S1). 54–55. 1 indexed citations

Karim, J., Rachel Craik, Lisa Hinton, & Aris T. Papageorghiou. (2020). OC05.01: *Acceptability of the first trimester anomaly scan amongst parents with a previous experience of fetal anomalies in pregnancy. Ultrasound in Obstetrics and Gynecology. 56(S1). 12–12. 1 indexed citations

Karim, J., et al.. (2019). OC23.06: Significant variation in practice for first trimester anatomy assessment: results from a nationwide survey. Ultrasound in Obstetrics and Gynecology. 54(S1). 60–61. 2 indexed citations

10.

Karim, J., Nia Roberts, L. J. Salomon, & Aris T. Papageorghiou. (2018). Systematic Review of First-Trimester Ultrasound Screening for Detection of Fetal Structural Anomalies and Factors That Affect Screening Performance. Obstetrical & Gynecological Survey. 73(4). 185–187. 2 indexed citations

11.

Karim, J., et al.. (2018). What is the Safest Mode of Birth for Extremely Preterm Breech Infants WHO are Actively Resuscitated? a Systematic Review and Meta-Analyses. Journal of Obstetrics and Gynaecology Canada. 40(6). 836–837.

12.

Karim, J., Nia Roberts, L. J. Salomon, & Aris T. Papageorghiou. (2016). Systematic review of first‐trimester ultrasound screening for detection of fetal structural anomalies and factors that affect screening performance. Ultrasound in Obstetrics and Gynecology. 50(4). 429–441. 149 indexed citations

13.

Karim, J., et al.. (2013). Low pregnancy associated plasma protein-A in the 1st trimester: Is it a predictor of poor perinatal outcome?. Journal of Obstetrics and Gynaecology. 33(4). 351–354. 8 indexed citations

14.

Karim, J., et al.. (2010). BMI threshold for gestational diabetes: a survey assessing sensitivity of BMI 30–34 in screening for women with gestational diabetes mellitus. Archives of Disease in Childhood Fetal & Neonatal. 95(Suppl 1). Fa42.3–Fa43. 1 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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