Garima Suman

559 total citations
20 papers, 356 citations indexed

About

Garima Suman is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Garima Suman has authored 20 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Oncology and 6 papers in Artificial Intelligence. Recurrent topics in Garima Suman's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Pancreatic and Hepatic Oncology Research (11 papers) and AI in cancer detection (5 papers). Garima Suman is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Pancreatic and Hepatic Oncology Research (11 papers) and AI in cancer detection (5 papers). Garima Suman collaborates with scholars based in United States and India. Garima Suman's co-authors include Ajit H. Goenka, Panagiotis Korfiatis, Suresh T. Chari, Ananya Panda, Anurima Patra, Shounak Majumder, Joel G. Fletcher, Timothy L. Kline, Matthew P. Johnson and Mark J. Truty and has published in prestigious journals such as Gastroenterology, Clinical Cancer Research and American Journal of Roentgenology.

In The Last Decade

Garima Suman

19 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Garima Suman United States	10	241	235	109	60	44	20	356
Anurima Patra India	6	153 0.6×	158 0.7×	75 0.7×	39 0.7×	24 0.5×	24	237
Qiyu Zhao China	10	91 0.4×	200 0.9×	136 1.2×	44 0.7×	24 0.5×	18	329
D. Schött United States	8	164 0.7×	302 1.3×	89 0.8×	85 1.4×	82 1.9×	16	360
Xiaofeng Jiang China	7	111 0.5×	188 0.8×	63 0.6×	56 0.9×	35 0.8×	13	285
Aurélie Fernandez Germany	5	119 0.5×	181 0.8×	151 1.4×	85 1.4×	16 0.4×	8	353
Bernadette Redd United States	8	163 0.7×	133 0.6×	50 0.5×	98 1.6×	18 0.4×	24	366
Vidya Sankar Viswanathan United States	10	101 0.4×	179 0.8×	91 0.8×	93 1.6×	30 0.7×	39	307
Mengsu Xiao China	12	78 0.3×	203 0.9×	171 1.6×	56 0.9×	54 1.2×	39	390
Christina Glasner Germany	3	93 0.4×	153 0.7×	129 1.2×	62 1.0×	19 0.4×	4	279
Lonie R. Salkowski United States	13	94 0.4×	245 1.0×	155 1.4×	105 1.8×	41 0.9×	24	468

Countries citing papers authored by Garima Suman

Since Specialization

Citations

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

Fields of papers citing papers by Garima Suman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garima Suman

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

Tran, Nguyen H., et al.. (2025). Interpretive consistency of a qualitative 68Ga-PSMA PET framework for treatment response assessment in hepatocellular carcinoma: a head-to-head comparison with cross-sectional imaging. European Journal of Nuclear Medicine and Molecular Imaging. 53(4). 2427–2438.

Faghani, Shahriar, Shannon P. Sheedy, Pamela Causa Andrieu, et al.. (2025). Advancing endometriosis detection in daily practice: a deep learning-enhanced multi-sequence MRI analytical model. Abdominal Radiology. 51(1). 238–249. 2 indexed citations

Korfiatis, Panagiotis, et al.. (2024). Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methods. Abdominal Radiology. 49(3). 964–974. 14 indexed citations

Parvinian, Ahmad, et al.. (2024). Appendiceal intussusception due to endometriosis presenting as acute right lower quadrant pain. BJR|case reports. 10(5). uaae032–uaae032. 1 indexed citations

Suman, Garima, Patrick J. Navin, Candice A. Bookwalter, et al.. (2024). Natural language processing pipeline to extract prostate cancer-related information from clinical notes. European Radiology. 34(12). 7878–7891. 9 indexed citations

Jayaprakasam, Vetri Sudar, Semra İnce, Garima Suman, et al.. (2023). PET/MRI in colorectal and anal cancers: an update. Abdominal Radiology. 48(12). 3558–3583. 7 indexed citations

Korfiatis, Panagiotis, Garima Suman, Anurima Patra, et al.. (2023). Automated Artificial Intelligence Model Trained on a Large Data Set Can Detect Pancreas Cancer on Diagnostic Computed Tomography Scans As Well As Visually Occult Preinvasive Cancer on Prediagnostic Computed Tomography Scans. Gastroenterology. 165(6). 1533–1546.e4. 37 indexed citations

Suman, Garima & Chi Wan Koo. (2023). Recent Advancements in Computed Tomography Assessment of Fibrotic Interstitial Lung Diseases. Journal of Thoracic Imaging. 38(Supplement 1). S7–S18. 5 indexed citations

Korfiatis, Panagiotis, Anurima Patra, Garima Suman, et al.. (2023). Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs. Pancreatology. 23(5). 522–529. 13 indexed citations

10.

Suman, Garima, et al.. (2022). PET/CT and PET/MRI in neuroendocrine neoplasms. Abdominal Radiology. 47(12). 4058–4072. 11 indexed citations

11.

Patra, Anurima, Panagiotis Korfiatis, Garima Suman, et al.. (2022). Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis. Gastroenterology. 163(5). 1435–1446.e3. 104 indexed citations

12.

Wright, Darryl, Anurima Patra, Panagiotis Korfiatis, et al.. (2022). Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept study. Abdominal Radiology. 47(11). 3806–3816. 7 indexed citations

13.

Patra, Anurima, Garima Suman, Shounak Majumder, et al.. (2022). Volumetric Pancreas Segmentation on Computed Tomography: Accuracy and Efficiency of a Convolutional Neural Network Versus Manual Segmentation in 3D Slicer in the Context of Interreader Variability of Expert Radiologists. Journal of Computer Assisted Tomography. 46(6). 841–847. 14 indexed citations

14.

Koo, Chi Wan, Timothy L. Kline, Joo Hee Yoon, et al.. (2022). Magnetic resonance radiomic feature performance in pulmonary nodule classification and impact of segmentation variability on radiomics. British Journal of Radiology. 95(1140). 20220230–20220230. 5 indexed citations

15.

Suman, Garima, Anurima Patra, Panagiotis Korfiatis, et al.. (2021). Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications. Pancreatology. 21(5). 1001–1008. 27 indexed citations

16.

Kumar, Vikas, Manoj Kumar Sharma, Balasubramaniam Venkatraman, et al.. (2021). Learning to Generate Missing Pulse Sequence in MRI using Deep Convolution Neural Network Trained with Visual Turing Test. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3419–3422. 2 indexed citations

17.

Patra, Anurima, et al.. (2021). Abstract PO-084: Automated detection of pancreatic ductal adenocarcinoma (PDAC) on CT scans using artificial intelligence (AI): Impact of inclusion of automated pancreas segmentation on the accuracy of 3D-convolutional neural network (CNN). Clinical Cancer Research. 27(5_Supplement). PO–84. 1 indexed citations

18.

Panda, Ananya, Panagiotis Korfiatis, Garima Suman, et al.. (2021). Two‐stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra‐reader and inter‐reader reliability at full and reduced radiation dose on an external dataset. Medical Physics. 48(5). 2468–2481. 33 indexed citations

19.

Suman, Garima, Ananya Panda, Panagiotis Korfiatis, et al.. (2020). Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase. Abdominal Radiology. 45(12). 4302–4310. 18 indexed citations

20.

Panda, Ananya, Ishan Garg, Mark J. Truty, et al.. (2020). Borderline Resectable and Locally Advanced Pancreatic Cancer: FDG PET/MRI and CT Tumor Metrics for Assessment of Pathologic Response to Neoadjuvant Therapy and Prediction of Survival. American Journal of Roentgenology. 217(3). 730–740. 46 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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