Mellisa Damodaram

1.3k total citations
18 papers, 895 citations indexed

About

Mellisa Damodaram is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mellisa Damodaram has authored 18 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pediatrics, Perinatology and Child Health, 9 papers in Obstetrics and Gynecology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mellisa Damodaram's work include Pregnancy and preeclampsia studies (8 papers), Fetal and Pediatric Neurological Disorders (7 papers) and Prenatal Screening and Diagnostics (5 papers). Mellisa Damodaram is often cited by papers focused on Pregnancy and preeclampsia studies (8 papers), Fetal and Pediatric Neurological Disorders (7 papers) and Prenatal Screening and Diagnostics (5 papers). Mellisa Damodaram collaborates with scholars based in United Kingdom, Sweden and Austria. Mellisa Damodaram's co-authors include Mary Rutherford, Lisa Story, Sailesh Kumar, Wai Yoong, Joseph V. Hajnal, Joanna Allsop, Bernhard Kainz, Martin Rajchl, Daniel Rueckert and Matthew C. H. Lee and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, IEEE Transactions on Medical Imaging and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Mellisa Damodaram

18 papers receiving 880 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mellisa Damodaram United Kingdom 14 458 241 205 171 108 18 895
Lior Drukker United Kingdom 20 488 1.1× 290 1.2× 168 0.8× 112 0.7× 221 2.0× 86 1.0k
Andrew D. Brown Canada 14 100 0.2× 68 0.3× 210 1.0× 13 0.1× 71 0.7× 35 588
Jacqueline Matthew United Kingdom 15 344 0.8× 55 0.2× 267 1.3× 89 0.5× 203 1.9× 52 947
Mohammad Kazem Tarzamni Iran 16 75 0.2× 51 0.2× 157 0.8× 23 0.1× 47 0.4× 65 594
Huaxuan Wen China 12 227 0.5× 29 0.1× 142 0.7× 83 0.5× 126 1.2× 33 540
Fred Winsberg Canada 16 130 0.3× 40 0.2× 236 1.2× 59 0.3× 173 1.6× 44 986
Antónia Costa Portugal 17 353 0.8× 64 0.3× 19 0.1× 26 0.2× 19 0.2× 40 884
Davide Fontanarosa Australia 17 23 0.1× 55 0.2× 517 2.5× 87 0.5× 45 0.4× 85 989
Kuberan Pushparajah United Kingdom 24 337 0.7× 33 0.1× 469 2.3× 86 0.5× 29 0.3× 146 1.8k
Yihua He China 13 120 0.3× 19 0.1× 77 0.4× 54 0.3× 44 0.4× 38 424

Countries citing papers authored by Mellisa Damodaram

Since Specialization
Citations

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

Fields of papers citing papers by Mellisa Damodaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mellisa Damodaram

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

All Works

18 of 18 papers shown
1.
Wiles, Kate, Mellisa Damodaram, & Charlotte Frise. (2021). Severe hypertension in pregnancy. Clinical Medicine. 21(5). e451–e456. 14 indexed citations
2.
Mistelbauer, Gabriel, Amir Alansary, Alice Davidson, et al.. (2017). Placenta Maps: In Utero Placental Health Assessment of the Human Fetus. IEEE Transactions on Visualization and Computer Graphics. 23(6). 1612–1623. 19 indexed citations
3.
Alansary, Amir, Martin Rajchl, Steven McDonagh, et al.. (2017). PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. IEEE Transactions on Medical Imaging. 36(10). 2031–2044. 29 indexed citations
4.
Kyriakopoulou, Vanessa, Deniz Vatansever, Alice Davidson, et al.. (2016). Normative biometry of the fetal brain using magnetic resonance imaging. Brain Structure and Function. 222(5). 2295–2307. 103 indexed citations
5.
Rajchl, Martin, Matthew C. H. Lee, Ozan Oktay, et al.. (2016). DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks. IEEE Transactions on Medical Imaging. 36(2). 674–683. 257 indexed citations
6.
Story, Lisa, Mellisa Damodaram, Veena G. Supramaniam, et al.. (2013). Myo-inositol metabolism in appropriately grown and growth-restricted fetuses: a proton magnetic resonance spectroscopy study. European Journal of Obstetrics & Gynecology and Reproductive Biology. 170(1). 77–81. 20 indexed citations
7.
Damodaram, Mellisa, Lisa Story, E. Eixarch, et al.. (2012). Foetal volumetry using Magnetic Resonance Imaging in intrauterine growth restriction. Early Human Development. 88. S35–S40. 41 indexed citations
8.
Story, Lisa, Mellisa Damodaram, Joanna Allsop, et al.. (2011). Brain metabolism in fetal intrauterine growth restriction: a proton magnetic resonance spectroscopy study. American Journal of Obstetrics and Gynecology. 205(5). 483.e1–483.e8. 46 indexed citations
9.
Damodaram, Mellisa, Lisa Story, Elena Kulinskaya, Mary Rutherford, & Sailesh Kumar. (2011). Early adverse perinatal complications in preterm growth-restricted fetuses. Australian and New Zealand Journal of Obstetrics and Gynaecology. 51(3). 204–209. 70 indexed citations
10.
Damodaram, Mellisa, Lisa Story, E. Eixarch, et al.. (2010). Placental MRI in Intrauterine Fetal Growth Restriction. Placenta. 31(6). 491–498. 76 indexed citations
11.
12.
Yoong, Wai, et al.. (2010). The pressure profile test is more sensitive and specific than Palmer's test in predicting correct placement of the Veress needle. European Journal of Obstetrics & Gynecology and Reproductive Biology. 152(2). 210–213. 8 indexed citations
13.
Story, Lisa, Mellisa Damodaram, Joanna Allsop, et al.. (2010). Proton magnetic resonance spectroscopy in the fetus. European Journal of Obstetrics & Gynecology and Reproductive Biology. 158(1). 3–8. 28 indexed citations
14.
Yoong, Wai, Mellisa Damodaram, Karen Madgwick, et al.. (2009). Observer accuracy and reproducibility of visual estimation of blood loss in obstetrics: how accurate and consistent are health-care professionals?. Archives of Gynecology and Obstetrics. 281(2). 207–213. 82 indexed citations
15.
Damodaram, Mellisa, et al.. (2009). D-dimers as a screening test for venous thromboembolism in pregnancy: Is it of any use?. Journal of Obstetrics and Gynaecology. 29(2). 101–103. 50 indexed citations
16.
Damodaram, Mellisa, et al.. (2009). O198 Three‐dimensional MR reconstruction and evaluation of the cerebellum to whole brain ratio in IUGR fetuses. International Journal of Gynecology & Obstetrics. 107(S2). 1 indexed citations
17.
Damodaram, Mellisa, Lisa Story, Amelia J. McGuinness, et al.. (2009). P186 3‐dimensional MR reconstruction and brain volumetry in IUGR fetuses. International Journal of Gynecology & Obstetrics. 107(S2). 1 indexed citations
18.
Damodaram, Mellisa, et al.. (2006). Primary amenorrhoea caused by congenital absence of the uterus. Archives of Gynecology and Obstetrics. 275(3). 199–201. 4 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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