Vaishali Patel

428 total citations
10 papers, 325 citations indexed

About

Vaishali Patel is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Molecular Medicine. According to data from OpenAlex, Vaishali Patel has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Medicine. Recurrent topics in Vaishali Patel's work include Advanced Image Processing Techniques (4 papers), Image and Signal Denoising Methods (2 papers) and Curcumin's Biomedical Applications (2 papers). Vaishali Patel is often cited by papers focused on Advanced Image Processing Techniques (4 papers), Image and Signal Denoising Methods (2 papers) and Curcumin's Biomedical Applications (2 papers). Vaishali Patel collaborates with scholars based in United States and India. Vaishali Patel's co-authors include Bhaumik B. Patel, Adhip P.N. Majumdar, Yingjie Yu, Jyoti Nautiyal, Edi Levi, Fazlul H. Sarkar, Sanjeev Banerjee, Jianhua Du, Jayanta Das and Shailender S. Kanwar and has published in prestigious journals such as Biochemical and Biophysical Research Communications, American Journal of Physiology-Gastrointestinal and Liver Physiology and Nutrition and Cancer.

In The Last Decade

Vaishali Patel

10 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vaishali Patel United States	7	143	90	51	36	35	10	325
Debojyoti Pal India	11	220 1.5×	37 0.4×	28 0.5×	8 0.2×	14 0.4×	21	435
Noor Hasima Malaysia	8	283 2.0×	90 1.0×	50 1.0×	38 1.1×	44 1.3×	9	512
Rosanna Mattera Italy	12	338 2.4×	79 0.9×	101 2.0×	36 1.0×	69 2.0×	14	612
Corina Ionescu Romania	10	164 1.1×	34 0.4×	37 0.7×	22 0.6×	34 1.0×	21	395
Mojtaba Rashidi Iran	10	116 0.8×	33 0.4×	37 0.7×	11 0.3×	41 1.2×	36	298
Shengwen Guan China	8	193 1.3×	69 0.8×	27 0.5×	8 0.2×	18 0.5×	11	325
Ritu Raina Saudi Arabia	10	221 1.5×	32 0.4×	39 0.8×	21 0.6×	61 1.7×	15	373
Yonika Arum Larasati Switzerland	11	266 1.9×	102 1.1×	42 0.8×	7 0.2×	30 0.9×	20	449
Yao-Ping Lu United States	9	332 2.3×	94 1.0×	56 1.1×	12 0.3×	102 2.9×	11	569
Kung‐Wen Lu Taiwan	12	228 1.6×	23 0.3×	37 0.7×	23 0.6×	41 1.2×	17	411

Countries citing papers authored by Vaishali Patel

Since Specialization

Citations

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

Fields of papers citing papers by Vaishali Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaishali Patel

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

All Works

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10 of 10 papers shown

1.

Patel, Vaishali, et al.. (2023). Deep Learning in Medical Image Super-Resolution: A Survey. International Journal of Engineering Trends and Technology. 71(8). 1–12. 1 indexed citations

2.

Tiwari, Anand Krishna, Brijesh Singh, & Vaishali Patel. (2020). Retrospective Study of Investigation of Possible Predictors for Total Fertility Rate in India. Journal of Scientific Research and Reports. 111–119. 2 indexed citations

3.

Patel, Vaishali, et al.. (2013). A Review on Different Image Interpolation Techniques for Image Enhancement. 27 indexed citations

4.

Patel, Vaishali, James L. Vacek, Leland Graves, & Rajib Bhattacharya. (2012). Calcium affects on vascular endpoints. Nutrition & Metabolism. 9(1). 24–24. 7 indexed citations

5.

Patel, Vaishali, et al.. (2011). Hybrid Approach for Single Image Super Resolution using ISEF and IBP: Specific Reference to License Plate. 1 indexed citations

6.

Patel, Vaishali, et al.. (2011). Hybrid Approach for Single Image Super Resolution Using ISEF and IBP. 13. 495–499. 9 indexed citations

7.

Patel, Vaishali, Matthew A. Sanders, Shailender S. Kanwar, et al.. (2011). Schlafen-3 decreases cancer stem cell marker expression and autocrine/juxtacrine signaling in FOLFOX-resistant colon cancer cells. American Journal of Physiology-Gastrointestinal and Liver Physiology. 301(2). G347–G355. 25 indexed citations

8.

Patel, Vaishali, et al.. (2010). Colorectal Cancer: Chemopreventive Role of Curcumin and Resveratrol. Nutrition and Cancer. 62(7). 958–967. 66 indexed citations

9.

Patel, Vaishali, Yingjie Yu, Jayanta Das, Bhaumik B. Patel, & Adhip P.N. Majumdar. (2009). Schlafen-3: A novel regulator of intestinal differentiation. Biochemical and Biophysical Research Communications. 388(4). 752–756. 30 indexed citations

10.

Majumdar, Adhip P.N., Sanjeev Banerjee, Jyoti Nautiyal, et al.. (2009). Curcumin Synergizes With Resveratrol to Inhibit Colon Cancer. Nutrition and Cancer. 61(4). 544–553. 157 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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