Manasa Vulchi

406 total citations · 1 hit paper
5 papers, 276 citations indexed

About

Manasa Vulchi is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, Manasa Vulchi has authored 5 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Oncology and 1 paper in Surgery. Recurrent topics in Manasa Vulchi's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). Manasa Vulchi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). Manasa Vulchi collaborates with scholars based in United States and Belgium. Manasa Vulchi's co-authors include Jame Abraham, Donna Plecha, Anant Madabhushi, Paulette Turk, Nathaniel Braman, Maryam Etesami, Prateek Prasanna, Kaustav Bera, ‬David D. B. Bates and B Bloch and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Clinical Cancer Research.

In The Last Decade

Manasa Vulchi

5 papers receiving 274 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.

Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer

2019 235 citations Nathaniel Braman, Prateek Prasanna et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manasa Vulchi United States	4	248	74	58	56	36	5	276
Paulette Turk United States	4	245 1.0×	76 1.0×	47 0.8×	52 0.9×	41 1.1×	5	271
Yangyang Kan China	6	326 1.3×	129 1.7×	60 1.0×	40 0.7×	47 1.3×	6	375
Xiaofeng Jiang China	7	188 0.8×	63 0.9×	56 1.0×	111 2.0×	33 0.9×	13	285
Pranjal Vaidya United States	7	223 0.9×	54 0.7×	140 2.4×	97 1.7×	28 0.8×	16	277
Giulia Vatteroni Italy	9	150 0.6×	37 0.5×	116 2.0×	42 0.8×	48 1.3×	20	251
Gaia Ninatti Italy	8	182 0.7×	49 0.7×	72 1.2×	37 0.7×	24 0.7×	18	249
Aditi Iyer United States	9	236 1.0×	49 0.7×	83 1.4×	33 0.6×	16 0.4×	16	291
Kristin A. Plichta United States	8	279 1.1×	46 0.6×	148 2.6×	34 0.6×	13 0.4×	20	347
Oliver Lester Saldanha Germany	6	166 0.7×	100 1.4×	35 0.6×	92 1.6×	40 1.1×	11	227
Caixia Sun China	8	229 0.9×	109 1.5×	59 1.0×	56 1.0×	35 1.0×	16	282

Countries citing papers authored by Manasa Vulchi

Since Specialization

Citations

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

Fields of papers citing papers by Manasa Vulchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manasa Vulchi

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

All Works

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5 of 5 papers shown

1.

Braman, Nathaniel, Prateek Prasanna, Kaustav Bera, et al.. (2022). Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. Clinical Cancer Research. 28(20). 4410–4424. 19 indexed citations

2.

Braman, Nathaniel, Mohammed El Adoui, Manasa Vulchi, et al.. (2020). Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study.. Nature Communications. 2 indexed citations

3.

Braman, Nathaniel, Prateek Prasanna, Jon Whitney, et al.. (2019). Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer. JAMA Network Open. 2(4). e192561–e192561. 235 indexed citations breakdown →

4.

Vulchi, Manasa, Mohammed El Adoui, Nathaniel Braman, et al.. (2019). Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI.. Journal of Clinical Oncology. 37(15_suppl). 593–593. 6 indexed citations

5.

Krimsky, William, Saiyad Sarkar, Manasa Vulchi, et al.. (2016). The changing anatomic position of squamous cell carcinoma of the lung – a new conundrum. Journal of Community Hospital Internal Medicine Perspectives. 6(6). 33299–33299. 14 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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