Amit D. Gujar

2.9k total citations · 1 hit paper
20 papers, 971 citations indexed

About

Amit D. Gujar is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Amit D. Gujar has authored 20 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Oncology. Recurrent topics in Amit D. Gujar's work include Glioma Diagnosis and Treatment (7 papers), Regulation of Appetite and Obesity (4 papers) and Cancer Genomics and Diagnostics (4 papers). Amit D. Gujar is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Regulation of Appetite and Obesity (4 papers) and Cancer Genomics and Diagnostics (4 papers). Amit D. Gujar collaborates with scholars based in United States, Netherlands and South Korea. Amit D. Gujar's co-authors include Albert H. Kim, Eunhee Yi, Hoon Kim, Roel G.W. Verhaak, Jihe Liu, Samirkumar B. Amin, Baher A. Ibrahim, Karen P. Briski, David Tran and Hiroko Yano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Amit D. Gujar

17 papers receiving 969 citations

Hit Papers

Extrachromosomal DNA is associated with oncogene amplific... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit D. Gujar United States 12 624 455 182 93 91 20 971
Aline Kowalski‐Chauvel France 23 810 1.3× 185 0.4× 261 1.4× 91 1.0× 49 0.5× 33 1.2k
Ke Hao China 15 626 1.0× 403 0.9× 110 0.6× 32 0.3× 43 0.5× 30 923
Yifeng Lin China 19 726 1.2× 377 0.8× 184 1.0× 68 0.7× 80 0.9× 42 1.4k
Sherry G. Dodds United States 14 670 1.1× 134 0.3× 163 0.9× 144 1.5× 28 0.3× 16 945
Yasser Riazalhosseini Canada 17 861 1.4× 547 1.2× 163 0.9× 18 0.2× 54 0.6× 47 1.2k
Keisuke Taniuchi Japan 22 974 1.6× 306 0.7× 287 1.6× 38 0.4× 58 0.6× 53 1.3k
Suzanne Chan United States 8 859 1.4× 224 0.5× 307 1.7× 281 3.0× 59 0.6× 13 1.4k
Irina Alimova United States 19 1.5k 2.4× 466 1.0× 630 3.5× 199 2.1× 153 1.7× 35 1.9k
Xiaochao Tan United States 17 636 1.0× 392 0.9× 156 0.9× 32 0.3× 17 0.2× 31 955
Yujie Zhang China 19 527 0.8× 178 0.4× 166 0.9× 43 0.5× 45 0.5× 50 834

Countries citing papers authored by Amit D. Gujar

Since Specialization
Citations

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

Fields of papers citing papers by Amit D. Gujar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit D. Gujar. 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 Amit D. Gujar. The network helps show where Amit D. Gujar may publish in the future.

Co-authorship network of co-authors of Amit D. Gujar

This figure shows the co-authorship network connecting the top 25 collaborators of Amit D. Gujar. A scholar is included among the top collaborators of Amit D. Gujar 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 Amit D. Gujar. Amit D. Gujar 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.
Yi, Eunhee, Amit D. Gujar, Dacheng Zhao, et al.. (2025). Selective Depletion of Cancer Cells with Extrachromosomal DNA via Lentiviral Infection. Cancer Research Communications. 5(8). 1458–1465.
2.
Mao, Diane D., Ryan T. Cleary, Amit D. Gujar, Tatenda Mahlokozera, & Albert H. Kim. (2022). CDC20 regulates sensitivity to chemotherapy and radiation in glioblastoma stem cells. PLoS ONE. 17(6). e0270251–e0270251. 7 indexed citations
3.
Gujar, Amit D., et al.. (2022). Crop Yield Prediction Using Naïve Bayes Algorithm. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 326–333.
5.
Yi, Eunhee, Amit D. Gujar, Hoon Kim, et al.. (2021). Live-Cell Imaging Shows Uneven Segregation of Extrachromosomal DNA Elements and Transcriptionally Active Extrachromosomal DNA Hubs in Cancer. Cancer Discovery. 12(2). 468–483. 89 indexed citations
6.
Zhu, Yanfen, Amit D. Gujar, Chee‐Hong Wong, et al.. (2021). Oncogenic extrachromosomal DNA functions as mobile enhancers to globally amplify chromosomal transcription. Cancer Cell. 39(5). 694–707.e7. 144 indexed citations
7.
Mahlokozera, Tatenda, Bhuvic Patel, Hao Chen, et al.. (2021). Competitive binding of E3 ligases TRIM26 and WWP2 controls SOX2 in glioblastoma. Nature Communications. 12(1). 6321–6321. 40 indexed citations
8.
Anderson, Kevin, Kevin C. Johnson, Frederick S. Varn, et al.. (2021). EPCO-13. MULTIOMIC SINGLE NUCLEUS RNA- AND ATACseq PROFILING REVEALS REGULATORS OF GLIOMA CELL STATE DIVERSITY. Neuro-Oncology. 23(Supplement_6). vi4–vi4. 1 indexed citations
9.
Kim, Hoon, Nam Nguyen, Kristen M. Turner, et al.. (2020). Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers. Nature Genetics. 52(9). 891–897. 260 indexed citations breakdown →
10.
Huang, Jiayi, Jian Campian, Amit D. Gujar, et al.. (2018). Final results of a phase I dose-escalation, dose-expansion study of adding disulfiram with or without copper to adjuvant temozolomide for newly diagnosed glioblastoma. Journal of Neuro-Oncology. 138(1). 105–111. 45 indexed citations
11.
Gujar, Amit D., Diane D. Mao, John B. Finlay, & Albert H. Kim. (2018). Establishing Primary Human Glioblastoma Adherent Cultures from Operative Specimens. Methods in molecular biology. 1741. 53–62. 5 indexed citations
12.
Huang, Jiayi, Jian Campian, Amit D. Gujar, et al.. (2016). A phase I study to repurpose disulfiram in combination with temozolomide to treat newly diagnosed glioblastoma after chemoradiotherapy. Journal of Neuro-Oncology. 128(2). 259–266. 69 indexed citations
13.
Gujar, Amit D., Son B. Le, Diane D. Mao, et al.. (2016). An NAD + -dependent transcriptional program governs self-renewal and radiation resistance in glioblastoma. Proceedings of the National Academy of Sciences. 113(51). E8247–E8256. 105 indexed citations
14.
Mao, Diane D., Amit D. Gujar, Tatenda Mahlokozera, et al.. (2015). A CDC20-APC/SOX2 Signaling Axis Regulates Human Glioblastoma Stem-like Cells. Cell Reports. 11(11). 1809–1821. 88 indexed citations
15.
Gujar, Amit D., Hiroko Yano, & Albert H. Kim. (2015). The CDC20-APC/SOX2 signaling axis: An achilles' heel for glioblastoma. Molecular & Cellular Oncology. 3(3). e1075644–e1075644. 7 indexed citations
18.
Fontenot, Krystal R., et al.. (2013). Design, synthesis and characterization of peptidomimetic conjugate of BODIPY targeting HER2 protein extracellular domain. European Journal of Medicinal Chemistry. 65. 60–69. 22 indexed citations
19.
Gujar, Amit D., et al.. (2013). Hindbrain lactostasis regulates hypothalamic AMPK activity and metabolic neurotransmitter mRNA and protein responses to hypoglycemia. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 306(7). R457–R469. 32 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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