Seema Paliwal

567 total citations
11 papers, 337 citations indexed

About

Seema Paliwal is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Seema Paliwal has authored 11 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Surgery. Recurrent topics in Seema Paliwal's work include Cancer-related gene regulation (6 papers), Kruppel-like factors research (5 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Seema Paliwal is often cited by papers focused on Cancer-related gene regulation (6 papers), Kruppel-like factors research (5 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Seema Paliwal collaborates with scholars based in United States, India and Canada. Seema Paliwal's co-authors include Steven R. Grossman, Ramesh C. Kovi, Sandhya Pande, Brian C. Lewis, Ya‐Wen Chen, Norman E. Sharpless, Nabeel Bardeesy, Bharath Nath, Kyle Draheim and Jinghua Shi and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Seema Paliwal

11 papers receiving 334 citations

Peers

Seema Paliwal

MB

ONCOL

GENET

CR

CB

Emhonta Johnson United States

Yi Hong China

Odelia Nahum United States

Junying Qin China

Robert J. Nadeau United States

Alexander M. Holtz United States

Eric Kusnadi Australia

Sandra Dudley United States

Sandhya Pande United States

Emhonta Johnson United States

Seema Paliwal

391 ×1.4

MB

96 ×1.2

ONCOL

78 ×1.0

GENET

69 ×1.6

CR

73 ×2.7

CB

Citations per year, relative to Seema Paliwal Seema Paliwal (= 1×) peers Emhonta Johnson

Countries citing papers authored by Seema Paliwal

Since Specialization

Citations

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

Fields of papers citing papers by Seema Paliwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seema Paliwal

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

All Works

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11 of 11 papers shown

1.

Paliwal, Seema, et al.. (2016). Comparison of Linear and Non-Linear Equalizer using the Maltlab. Communications on Applied Electronics. 4(1). 7–11. 1 indexed citations

2.

Rajeshkumar, Barur, Seema Paliwal, Laura Lambert, Steven R. Grossman, & Giles F. Whalen. (2015). Treatment of peritoneal carcinomatosis with intraperitoneal administration of Ad-hARF. Journal of Surgical Research. 197(1). 85–90. 5 indexed citations

3.

Paliwal, Seema, et al.. (2015). Variation in Capacitance with different Conditions of Sensor. International Journal of Computer Applications. 127(14). 7–10. 1 indexed citations

4.

Barnes, J. Matthew, Seema Paliwal, Xuefeng Zhang, et al.. (2011). The ARF Tumor Suppressor Inhibits Tumor Cell Colonization Independent of p53 in a Novel Mouse Model of Pancreatic Ductal Adenocarcinoma Metastasis. Molecular Cancer Research. 9(7). 867–877. 24 indexed citations

5.

Straza, Michael, Seema Paliwal, Ramesh C. Kovi, et al.. (2010). Therapeutic targeting of C-terminal binding protein in human cancer. Cell Cycle. 9(18). 3764–3774. 53 indexed citations

6.

Kovi, Ramesh C., Seema Paliwal, Sandhya Pande, & Steven R. Grossman. (2009). An ARF/CtBP2 complex regulates BH3-only gene expression and p53-independent apoptosis. Cell Death and Differentiation. 17(3). 513–521. 45 indexed citations

7.

Chen, Ya‐Wen, Seema Paliwal, Kyle Draheim, Steven R. Grossman, & Brian C. Lewis. (2008). p19Arf Inhibits the Invasion of Hepatocellular Carcinoma Cells by Binding to C-terminal Binding Protein. Cancer Research. 68(2). 476–482. 48 indexed citations

8.

Paliwal, Seema, Ramesh C. Kovi, Bharath Nath, et al.. (2007). The Alternative Reading Frame Tumor Suppressor Antagonizes Hypoxia-Induced Cancer Cell Migration via Interaction with the COOH-Terminal Binding Protein Corepressor. Cancer Research. 67(19). 9322–9329. 57 indexed citations

9.

Paliwal, Seema, Sandhya Pande, Ramesh C. Kovi, et al.. (2006). Targeting of C-Terminal Binding Protein (CtBP) by ARF Results in p53-Independent Apoptosis. Molecular and Cellular Biology. 26(6). 2360–2372. 73 indexed citations

10.

Paliwal, Seema, et al.. (2004). P311 binds to the latency associated protein and downregulates the expression of TGF-β1 and TGF-β2. Biochemical and Biophysical Research Communications. 315(4). 1104–1109. 28 indexed citations

11.

Wen, Hui, Pratima Ray, Pradeep Das, et al.. (1996). A Novel 70-kDa Triton X-114-Soluble Antigen ofPlasmodium falciparumThat Contains Interspecies-Conserved Epitopes. Experimental Parasitology. 83(3). 322–334. 2 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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