Usha N. Kasid

2.7k total citations
63 papers, 2.3k citations indexed

About

Usha N. Kasid is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Usha N. Kasid has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Usha N. Kasid's work include Cell death mechanisms and regulation (17 papers), NF-κB Signaling Pathways (11 papers) and Melanoma and MAPK Pathways (8 papers). Usha N. Kasid is often cited by papers focused on Cell death mechanisms and regulation (17 papers), NF-κB Signaling Pathways (11 papers) and Melanoma and MAPK Pathways (8 papers). Usha N. Kasid collaborates with scholars based in United States, United Kingdom and Switzerland. Usha N. Kasid's co-authors include Anatoly Dritschilo, Deepak Kumar, Theresa L. Whiteside, Prafulla C. Gokhale, Simeng Suy, Chuanbo Zhang, A. Pfeifer, Imran Ahmad, Paul Dent and Constantinos G. Broustas and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Usha N. Kasid

62 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Usha N. Kasid United States 29 1.6k 643 479 374 170 63 2.3k
Alicia S. Chung United States 11 1.4k 0.9× 798 1.2× 517 1.1× 521 1.4× 170 1.0× 16 2.3k
Oskar W. Rokhlin United States 26 1.4k 0.8× 557 0.9× 583 1.2× 350 0.9× 115 0.7× 49 2.0k
Jeremy P. Blaydes United Kingdom 32 1.6k 1.0× 987 1.5× 342 0.7× 196 0.5× 133 0.8× 54 2.2k
Douglas W. McMillin United States 25 1.2k 0.7× 837 1.3× 263 0.5× 329 0.9× 163 1.0× 57 2.1k
Pingda Ren United States 21 2.3k 1.4× 570 0.9× 246 0.5× 291 0.8× 166 1.0× 49 3.2k
Joseph Gera United States 28 2.4k 1.5× 592 0.9× 396 0.8× 376 1.0× 274 1.6× 60 3.0k
Stefan Hart Singapore 23 1.4k 0.9× 1.0k 1.6× 263 0.5× 221 0.6× 131 0.8× 30 2.7k
Alexander R. Shoemaker United States 19 2.2k 1.4× 906 1.4× 311 0.6× 336 0.9× 124 0.7× 22 3.0k
Jiro Kikuchi Japan 27 1.5k 0.9× 594 0.9× 209 0.4× 352 0.9× 138 0.8× 89 2.2k
Imayavaramban Lakshmanan United States 27 1.5k 0.9× 961 1.5× 407 0.8× 504 1.3× 190 1.1× 43 2.2k

Countries citing papers authored by Usha N. Kasid

Since Specialization
Citations

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

Fields of papers citing papers by Usha N. Kasid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Usha N. Kasid. 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 Usha N. Kasid. The network helps show where Usha N. Kasid may publish in the future.

Co-authorship network of co-authors of Usha N. Kasid

This figure shows the co-authorship network connecting the top 25 collaborators of Usha N. Kasid. A scholar is included among the top collaborators of Usha N. Kasid 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 Usha N. Kasid. Usha N. Kasid 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.
Boudreau, Howard E., Jennifer Robinson, & Usha N. Kasid. (2023). Illuminating DEPDC1B in Multi-pronged Regulation of Tumor Progression. Methods in molecular biology. 2660. 295–310.
2.
Day, Timothy F., et al.. (2019). Dual Targeting of EGFR and IGF1R in the TNFAIP8 Knockdown Non–Small Cell Lung Cancer Cells. Molecular Cancer Research. 17(5). 1207–1219. 15 indexed citations
3.
Zhang, Chuanbo, Bhaskar Kallakury, Jeffrey S. Ross, et al.. (2012). The significance of TNFAIP8 in prostate cancer response to radiation and docetaxel and disease recurrence. International Journal of Cancer. 133(1). 31–42. 52 indexed citations
4.
Broustas, Constantinos G., Jeffrey S. Ross, Qifeng Yang, et al.. (2010). The Proapoptotic Molecule BLID Interacts with Bcl-XL and Its Downregulation in Breast Cancer Correlates with Poor Disease-Free and Overall Survival. Clinical Cancer Research. 16(11). 2939–2948. 15 indexed citations
5.
Zhang, Chuanbo, et al.. (2008). Systemic Delivery and Pre-clinical Evaluation of Nanoparticles Containing Antisense Oligonucleotides and siRNAs. Methods in molecular biology. 480. 65–83. 21 indexed citations
6.
Zhang, Chuanbo, Jin Pei, Deepak Kumar, et al.. (2006). Antisense Oligonucleotides: Target Validation and Development of Systemically Delivered Therapeutic Nanoparticles. Humana Press eBooks. 361. 163–186. 20 indexed citations
7.
8.
Kasid, Usha N. & Anatoly Dritschilo. (2003). RAF antisense oligonucleotide as a tumor radiosensitizer. Oncogene. 22(37). 5876–5884. 44 indexed citations
9.
Annunziata, Christina M., Yassamin J. Safiran, Steven G. Irving, Usha N. Kasid, & Jeffrey Cossman. (2000). Hodgkin disease: pharmacologic intervention of the CD40-NFκB pathway by a protease inhibitor. Blood. 96(8). 2841–2848. 42 indexed citations
10.
Gokhale, Prafulla C., D. McRae, Brett P. Monia, et al.. (1999). Antisense raf Oligodeoxyribonucleotide Is a Radiosensitizer In Vivo. Antisense and Nucleic Acid Drug Development. 9(2). 191–201. 46 indexed citations
11.
Patel, Sonal, et al.. (1998). Ionizing Radiation and TNF-a and Stimulated Expression of a1-Antichymotrypsin Gene in Human Squamous Carcinoma Cells. Acta Oncologica. 37(5). 475–478. 8 indexed citations
12.
Suy, Simeng, James B. Mitchell, Desiree Ehleiter, Adriana Haimovitz‐Friedman, & Usha N. Kasid. (1998). Nitroxides Tempol and Tempo Induce Divergent Signal Transduction Pathways in MDA-MB 231 Breast Cancer Cells. Journal of Biological Chemistry. 273(28). 17871–17878. 50 indexed citations
13.
14.
Suy, Simeng, Wayne B. Anderson, Paul Dent, Esther H. Chang, & Usha N. Kasid. (1997). Association of Grb2 with Sos and Ras with Raf-1 upon gamma irradiation of breast cancer cells. Oncogene. 15(1). 53–61. 49 indexed citations
15.
Kasid, Usha N., Kathleen F. Pirollo, Anatoly Dritschilo, & Esther H. Chang. (1993). Oncogenic Basis of Radiation Resistance. Advances in cancer research. 61. 195–233. 33 indexed citations
16.
Leung, Stephen Wan, James B. Mitchell, Isaf Al‐Nabulsi, et al.. (1993). Effect of L-buthionine sulfoximine on the radiation response of human renal carcinoma cell lines. Cancer. 71(7). 2276–2285. 30 indexed citations
17.
Patel, Bharvin K.R. & Usha N. Kasid. (1993). Nucleotide sequence analysis of c‐raf‐1 cDNA and promoter from a radiation‐resistant human squamous carcinoma cell line: Deletion within exon 17. Molecular Carcinogenesis. 8(1). 7–12. 9 indexed citations
18.
Dritschilo, Anatoly, et al.. (1993). Identification of Multiple Repeat Sequences and Transcription-Related Elements Within Introns 4, 8 and 9 of Human RAF-1. Biochemical and Biophysical Research Communications. 190(2). 462–469. 11 indexed citations
19.
Jung, Martin, Anatoly Dritschilo, & Usha N. Kasid. (1992). Reliable and efficient direct sequencing of PCR-amplified double-stranded genomic DNA template.. Genome Research. 1(3). 171–174. 13 indexed citations
20.
Kasid, Usha N., et al.. (1989). Sensitivities of NIH/3T3-derived clonal cell lines to ionizing radiation: significance for gene transfer studies.. PubMed. 49(12). 3396–400. 35 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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