Susmita Saha

556 total citations
12 papers, 318 citations indexed

About

Susmita Saha is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Susmita Saha has authored 12 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Susmita Saha's work include Neonatal and fetal brain pathology (3 papers), Neuroscience and Neural Engineering (3 papers) and Retinal Development and Disorders (2 papers). Susmita Saha is often cited by papers focused on Neonatal and fetal brain pathology (3 papers), Neuroscience and Neural Engineering (3 papers) and Retinal Development and Disorders (2 papers). Susmita Saha collaborates with scholars based in Australia, India and Germany. Susmita Saha's co-authors include David B. Grayden, Isabell Kiral-Kornek, Steven N. Baldassano, Terence J. O’Brien, Philippa J. Karoly, Benjamin S. Mashford, Subhrajit Roy, Stefan Harrer, Mark Cook and Dean R. Freestone and has published in prestigious journals such as NeuroImage, Scientific Reports and Neuroscience.

In The Last Decade

Susmita Saha

11 papers receiving 311 citations

Peers

Countries citing papers authored by Susmita Saha

Since Specialization

Citations

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

Fields of papers citing papers by Susmita Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susmita Saha

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

#	Work	Indexed citations
1	Predictive machine learning and multimodal data to develop highly sensitive, composite biomarkers of disease progression in Friedreich ataxia 2025 ·Scientific Reports ·Susmita Saha, Louise A. Corben, (unknown), Ian H. Harding, Nellie Georgiou‐Karistianis	1
2	Prognostic enrichment for early-stage Huntington’s disease: An explainable machine learning approach for clinical trial 2024 ·NeuroImage Clinical ·(unknown), Govinda Poudel, Adeel Razi, (unknown), Jane S. Paulsen, Sarah J. Tabrizi, Susmita Saha, Nellie Georgiou‐Karistianis	4
3	Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants 2022 ·NeuroImage ·Alex M. Pagnozzi, Liza van Eijk, Kerstin Pannek, Roslyn N. Boyd, Susmita Saha, Joanne M. George, Samudragupta Bora, DanaKai Bradford, Michael Fahey, Michael Ditchfield, Anil K. Malhotra, Helen G. Liley, Paul B. Colditz, Stephen Rose, Jürgen Fripp	12
4	Predicting fluid intelligence in adolescence from structural MRI with deep learning methods 2021 ·Intelligence ·Susmita Saha, Alex M. Pagnozzi, DanaKai Bradford, Jürgen Fripp	7
5	Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model 2020 ·NeuroImage ·Susmita Saha, Alex M. Pagnozzi, Pierrick Bourgeat, Joanne M. George, DanaKai Bradford, Paul B. Colditz, Roslyn N. Boyd, Stephen Rose, Jürgen Fripp, Kerstin Pannek	46
6	Ganglion Cell Assessment in Rodents with Retinal Degeneration 2018 ·Methods in molecular biology ·Erica L. Fletcher, Ursula Greferath, Susmita Saha, (unknown), Kirstan A. Vessey	1
7	Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System 2017 ·EBioMedicine ·Isabell Kiral-Kornek, Subhrajit Roy, Ewan S. Nurse, Benjamin S. Mashford, Philippa J. Karoly, Thomas Carroll, Daniel E. Payne, Susmita Saha, Steven N. Baldassano, Terence J. O’Brien, David B. Grayden, Mark Cook, Dean R. Freestone, Stefan Harrer	191
8	Bond graph modelling of chemoelectrical energy transduction 2017 ·IET Systems Biology ·P.J. Gawthrop, Ivo Siekmann, Tatiana Kameneva, Susmita Saha, Michael R. Ibbotson, Edmund J. Crampin	12
9	Changes in ganglion cells during retinal degeneration 2016 ·Neuroscience ·Susmita Saha, Ursula Greferath, Kirstan A. Vessey, David B. Grayden, Anthony N. Burkitt, Erica L. Fletcher	29
10	Adaptive System Simulation and Noise Analysis Toolbox (ASSNAT) : The Open-Source Toolbox Developed with Newer Features for Adaptive System Simulation 2013 ·(unknown), Susmita Saha, (unknown), Shibani Ghosh	1
11	Artificial neural net approach for capacitor placement in power system 2002 ·P.K. Dash, Susmita Saha, Pradipta Kumar Nanda	13
12	Artificial neural network & pattern recognition approach for narrowband signal extraction 2002 ·Pritam Dash, Pradipta Kumar Nanda, Susmita Saha, R. Doraiswami	1

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.

Explore authors with similar magnitude of impact