Mishka Gidwani

920 total citations
7 papers, 480 citations indexed

About

Mishka Gidwani is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Mishka Gidwani has authored 7 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Mishka Gidwani's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and AI in cancer detection (2 papers). Mishka Gidwani is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and AI in cancer detection (2 papers). Mishka Gidwani collaborates with scholars based in United States and India. Mishka Gidwani's co-authors include Praveer Singh, Jayashree Kalpathy–Cramer, Ken Chang, Nishanth Arun, Matthew Li, Tingliang Zhuang, Bin Lou, N Mistry, Mohamed E. Abazeed and Ali Kamen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Radiology.

In The Last Decade

Mishka Gidwani

7 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mishka Gidwani United States	5	315	143	107	88	65	7	480
Mostafa Nazari Iran	11	498 1.6×	103 0.7×	227 2.1×	34 0.4×	52 0.8×	18	562
Masoumeh Gity Iran	14	279 0.9×	121 0.8×	51 0.5×	14 0.2×	56 0.9×	67	511
Wei-Lin Chen Taiwan	7	169 0.5×	40 0.3×	69 0.6×	19 0.2×	27 0.4×	9	342
Beatriu Reig United States	13	327 1.0×	181 1.3×	74 0.7×	14 0.2×	78 1.2×	31	579
Xiao Hu China	12	253 0.8×	127 0.9×	263 2.5×	38 0.4×	308 4.7×	40	631
Jianqiao Zhou China	12	356 1.1×	148 1.0×	54 0.5×	53 0.6×	41 0.6×	39	594
Jionghui Gu China	10	217 0.7×	124 0.9×	40 0.4×	17 0.2×	83 1.3×	22	368
Giovanni Lujan United States	11	217 0.7×	325 2.3×	42 0.4×	41 0.5×	111 1.7×	20	584
Ryo Shimoyama Japan	8	169 0.5×	81 0.6×	161 1.5×	55 0.6×	45 0.7×	13	394

Countries citing papers authored by Mishka Gidwani

Since Specialization

Citations

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

Fields of papers citing papers by Mishka Gidwani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mishka Gidwani

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

All Works

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7 of 7 papers shown

1.

Gidwani, Mishka, et al.. (2022). Defining the optimal millimeter threshold for target lesion inclusion in the Response Assessment in Neuro-Oncology for Brain Metastases (RANO-BM) based on outcome prediction.. Journal of Clinical Oncology. 40(16_suppl). e14003–e14003. 1 indexed citations

2.

Gidwani, Mishka, Ken Chang, Jay Patel, et al.. (2022). Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models. Radiology. 307(1). e220715–e220715. 21 indexed citations

3.

Arun, Nishanth, Nathan Gaw, Praveer Singh, et al.. (2021). Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. Radiology Artificial Intelligence. 3(6). e200267–e200267. 147 indexed citations

4.

Li, Matthew, Nishanth Arun, Mishka Gidwani, et al.. (2020). Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks. Radiology Artificial Intelligence. 2(4). e200079–e200079. 105 indexed citations

5.

Gidwani, Mishka, et al.. (2019). An emergent role for radiomic decision support in lung cancer. 24–30. 2 indexed citations

6.

Lou, Bin, Tingliang Zhuang, Mishka Gidwani, et al.. (2019). An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction. The Lancet Digital Health. 1(3). e136–e147. 143 indexed citations

7.

Geng, Yue, Siddarth Chandrasekaran, Jong‐Wei Hsu, et al.. (2013). Phenotypic Switch in Blood: Effects of Pro-Inflammatory Cytokines on Breast Cancer Cell Aggregation and Adhesion. PLoS ONE. 8(1). e54959–e54959. 61 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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