Rekha Pal

785 total citations
25 papers, 614 citations indexed

About

Rekha Pal is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Rekha Pal has authored 25 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Rekha Pal's work include Multiple Myeloma Research and Treatments (7 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer Genomics and Diagnostics (4 papers). Rekha Pal is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer Genomics and Diagnostics (4 papers). Rekha Pal collaborates with scholars based in United States, India and Australia. Rekha Pal's co-authors include Abhiram Sahu, Allan Z. Zhao, Markus Y. Mapara, Suzanne Lentzsch, Peter Schäfer, Sara A. Monaghan, Shirong Li, Deborah L. Galson, Stephanie Greene and G. David Roodman and has published in prestigious journals such as Blood, Nature Neuroscience and PLoS ONE.

In The Last Decade

Rekha Pal

24 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rekha Pal United States 9 272 211 152 142 139 25 614
Lina Benajiba France 11 167 0.6× 40 0.2× 32 0.2× 31 0.2× 121 0.9× 33 549
Chantal Samson France 12 303 1.1× 49 0.2× 56 0.4× 26 0.2× 8 0.1× 13 592
Chiyuki Furukawa Japan 5 269 1.0× 40 0.2× 126 0.8× 27 0.2× 10 0.1× 6 434
Karen Verity Australia 12 233 0.9× 12 0.1× 53 0.3× 49 0.3× 55 0.4× 12 568
Junwei Fan China 8 250 0.9× 34 0.2× 59 0.4× 23 0.2× 14 0.1× 13 392
Hélène Favre France 8 208 0.8× 28 0.1× 242 1.6× 9 0.1× 49 0.4× 10 505
Weiping Qiu United States 10 226 0.8× 36 0.2× 68 0.4× 18 0.1× 7 0.1× 16 442
Simona Frateschi Switzerland 10 343 1.3× 17 0.1× 22 0.1× 53 0.4× 29 0.2× 15 499
Angela Liou United States 9 296 1.1× 20 0.1× 332 2.2× 9 0.1× 25 0.2× 13 723
Susana Velasco United States 8 394 1.4× 28 0.1× 55 0.4× 10 0.1× 17 0.1× 9 567

Countries citing papers authored by Rekha Pal

Since Specialization
Citations

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

Fields of papers citing papers by Rekha Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rekha Pal

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

All Works

20 of 20 papers shown
1.
Pal, Rekha, et al.. (2024). Intelligent analysis to detect phishing websites using machine learning ensemble techniques. 6(1). 39–47. 2 indexed citations
2.
Pal, Rekha, et al.. (2024). Transfer Learning with Hybrid Firefly Butterfly Optimization Feature Selection Model for Early Parkinson Disease Prediction. Biomedical Materials & Devices. 3(2). 1285–1296. 1 indexed citations
3.
Pal, Rekha, et al.. (2023). Phishing Detection using Base Classifier and Ensemble Technique. International Journal on Recent and Innovation Trends in Computing and Communication. 11(11s). 367–376.
4.
Pal, Rekha, et al.. (2023). Phishing Detection: A Hybrid Model with Feature Selection and Machine Learning Techniques. International Journal of experimental research and review. 36. 99–108. 8 indexed citations
5.
6.
Pal, Rekha, Ning Wei, Nan Song, et al.. (2018). Molecular subtypes of colorectal cancer in pre-clinical models show differential response to targeted therapies: Treatment implications beyond KRAS mutations. PLoS ONE. 13(8). e0200836–e0200836. 8 indexed citations
7.
Srinivasan, Ashok, Carmen J. Allegra, Samuel A. Jacobs, et al.. (2017). Abstract 5684: NSABP FC-7 correlative study: HER2 amplification (amp) in circulating cell-free DNA (cfDNA) in metastatic colorectal cancer (mCRC) resistant to anti-EGFR therapy (tx). Cancer Research. 77(13_Supplement). 5684–5684. 2 indexed citations
8.
Pal, Rekha & Stephanie Greene. (2015). microRNA-10b Is Overexpressed and Critical for Cell Survival and Proliferation in Medulloblastoma. PLoS ONE. 10(9). e0137845–e0137845. 22 indexed citations
9.
Li, Yanxin, Rekha Pal, Li‐Ying Sung, et al.. (2012). An Opposite Effect of the CDK Inhibitor, p18INK4c on Embryonic Stem Cells Compared with Tumor and Adult Stem Cells. PLoS ONE. 7(9). e45212–e45212. 8 indexed citations
10.
Sayan, Emre, Robert K. Vickery, Elena Grigorenko, et al.. (2011). Fra-1 controls motility of bladder cancer cells via transcriptional upregulation of the receptor tyrosine kinase AXL. Oncogene. 31(12). 1493–1503. 86 indexed citations
11.
Li, Shirong, Rekha Pal, Sara A. Monaghan, et al.. (2011). IMiD immunomodulatory compounds block C/EBPβ translation through eIF4E down-regulation resulting in inhibition of MM. Blood. 117(19). 5157–5165. 80 indexed citations
12.
Li, Shirong, Rekha Pal, Sara A. Monaghan, et al.. (2010). C/EBPb Is a Critical Mediator of Resistance to IMiD® Immunomodulatory Compounds and Affected by IMiD Compounds Via Control of Protein Translation. Blood. 116(21). 135–135. 1 indexed citations
13.
Pal, Rekha, Martin Janz, Deborah L. Galson, et al.. (2009). C/EBPβ regulates transcription factors critical for proliferation and survival of multiple myeloma cells. Blood. 114(18). 3890–3898. 64 indexed citations
14.
Pal, Rekha, Ryan Kennedy, Loai Mansour, et al.. (2007). Cathepsin G, a Potent Platelet Aggregation Activator, Is Upregulated in Multiple Myeloma Patients during Treatment with Lenalidomide (Revlimid).. Blood. 110(11). 2504–2504. 3 indexed citations
15.
Pal, Rekha, et al.. (2005). Efficacy ofFallopian tubecatheterization for treatment of infertility. Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging. 15(4). 521–521. 2 indexed citations
16.
Khalid, Asif, Kevin McGrath, Rekha Pal, et al.. (2004). Microdissection Based Genotyping Improves the Accuracy of EUS Guided FNA of Pancreatic Tumors. Gastrointestinal Endoscopy. 59(5). P94–P94. 2 indexed citations
17.
Khalid, Asif, Sydney Finkelstein, Rekha Pal, et al.. (2004). FIRST HIT K-RAS POINT MUTATION FOLLOWED BY TUMOR SUPPRESSOR GENE ALLELIC LOSS PREDICTS MALIGNANCY IN EUS GUIDED PANCREATIC CYST ASPIRATE.. Pancreas. 29(4). 357–357. 1 indexed citations
18.
19.
Pal, Rekha & Abhiram Sahu. (2003). Leptin Signaling in the Hypothalamus during Chronic Central Leptin Infusion. Endocrinology. 144(9). 3789–3798. 57 indexed citations
20.
Zhao, Allan Z., et al.. (2002). A phosphatidylinositol 3-kinase–phosphodiesterase 3B–cyclic AMP pathway in hypothalamic action of leptin on feeding. Nature Neuroscience. 5(8). 727–728. 186 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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