Nitin Raj

2.9k total citations
50 papers, 2.3k citations indexed

About

Nitin Raj is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Nitin Raj has authored 50 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 21 papers in Immunology and 14 papers in Oncology. Recurrent topics in Nitin Raj's work include interferon and immune responses (14 papers), RNA Research and Splicing (9 papers) and Cancer-related Molecular Pathways (8 papers). Nitin Raj is often cited by papers focused on interferon and immune responses (14 papers), RNA Research and Splicing (9 papers) and Cancer-related Molecular Pathways (8 papers). Nitin Raj collaborates with scholars based in United States, Canada and France. Nitin Raj's co-authors include Paula M. Pitha, J D Mosca, Daniel P. Bednarik, Laura D. Attardi, C A Rosen, William A. Haseltine, Wei-Chun Au, Joseph Sodroski, Rakesh Bam and Gary S. Hayward and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Nitin Raj

49 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
Nitin Raj United States 26 1.0k 843 588 533 424 50 2.3k
E P Reddy United States 21 1.1k 1.1× 604 0.7× 316 0.5× 195 0.4× 342 0.8× 37 2.0k
Evangelos Christodoulou United Kingdom 22 1.6k 1.6× 653 0.8× 305 0.5× 652 1.2× 478 1.1× 40 2.6k
J Galabru France 21 2.2k 2.2× 1.3k 1.5× 413 0.7× 354 0.7× 210 0.5× 32 3.1k
Bernard Krust France 31 1.7k 1.6× 983 1.2× 467 0.8× 531 1.0× 1.2k 2.8× 66 3.3k
Wei-Chun Au United States 20 785 0.8× 1.3k 1.5× 692 1.2× 398 0.7× 176 0.4× 37 2.2k
R Risser United States 27 1.4k 1.4× 731 0.9× 572 1.0× 311 0.6× 810 1.9× 57 2.9k
H J Kung United States 26 1.2k 1.2× 332 0.4× 367 0.6× 793 1.5× 224 0.5× 40 2.3k
Robert H. Bassin United States 29 1.3k 1.2× 524 0.6× 543 0.9× 325 0.6× 563 1.3× 61 2.6k
Gregory Roderiquez United States 20 509 0.5× 917 1.1× 563 1.0× 324 0.6× 823 1.9× 25 1.9k
Christine L. White United States 24 722 0.7× 475 0.6× 455 0.8× 349 0.7× 235 0.6× 46 1.9k

Countries citing papers authored by Nitin Raj

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Raj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Raj

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Raj. A scholar is included among the top collaborators of Nitin Raj 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 Nitin Raj. Nitin Raj 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.
Wang, Mengxiong, Kathryn Bieging-Rolett, Alyssa M. Kaiser, et al.. (2025). p53 Drives Lung Cancer Regression through a TSC2/TFEB-dependent Senescence Program. Cancer Discovery. 16(2). 391–411.
2.
Kaiser, Alyssa M., Alberto Gatto, Nitin Raj, et al.. (2023). p53 governs an AT1 differentiation programme in lung cancer suppression. Nature. 619(7971). 851–859. 45 indexed citations
3.
Raj, Nitin, Mengxiong Wang, José A. Seoane, et al.. (2022). The Mettl3 epitranscriptomic writer amplifies p53 stress responses. Molecular Cell. 82(13). 2370–2384.e10. 47 indexed citations
4.
Tiu, Gerald C., Craig H. Kerr, Craig M. Forester, et al.. (2021). A p53-dependent translational program directs tissue-selective phenotypes in a model of ribosomopathies. Developmental Cell. 56(14). 2089–2102.e11. 26 indexed citations
5.
Gomez‐Ospina, Natalia, Rasmus O. Bak, Sruthi Mantri, et al.. (2019). Human genome-edited hematopoietic stem cells phenotypically correct Mucopolysaccharidosis type I. Nature Communications. 10(1). 4045–4045. 93 indexed citations
6.
Raj, Nitin & Rakesh Bam. (2019). Reciprocal Crosstalk Between YAP1/Hippo Pathway and the p53 Family Proteins: Mechanisms and Outcomes in Cancer. Frontiers in Cell and Developmental Biology. 7. 159–159. 66 indexed citations
7.
Mello, Stephano S., Nitin Raj, Paweł K. Mazur, et al.. (2017). Neat1 is a p53-inducible lincRNA essential for transformation suppression. Genes & Development. 31(11). 1095–1108. 166 indexed citations
8.
Mello, Stephano S., Liz J. Valente, Nitin Raj, et al.. (2017). A p53 Super-tumor Suppressor Reveals a Tumor Suppressive p53-Ptpn14-Yap Axis in Pancreatic Cancer. Cancer Cell. 32(4). 460–473.e6. 126 indexed citations
9.
Raj, Nitin & Laura D. Attardi. (2016). The Transactivation Domains of the p53 Protein. Cold Spring Harbor Perspectives in Medicine. 7(1). a026047–a026047. 115 indexed citations
10.
Raj, Nitin, Liang Zhang, Yiliang Wei, David N. Arnosti, & R. William Henry. (2012). Ubiquitination of Retinoblastoma Family Protein 1 Potentiates Gene-specific Repression Function. Journal of Biological Chemistry. 287(50). 41835–41843. 10 indexed citations
11.
Acharya, Pankaj, Nitin Raj, Liang Zhang, et al.. (2010). Paradoxical Instability–Activity Relationship Defines a Novel Regulatory Pathway for Retinoblastoma Proteins. Molecular Biology of the Cell. 21(22). 3890–3901. 15 indexed citations
12.
Kozak, Christine A., Yeu Su, & Nitin Raj. (1999). Identification and genetic mapping of differentially expressed genes in mice differing at the If1 interferon regulatory locus. Mammalian Genome. 10(9). 853–857. 6 indexed citations
13.
Chopra, Rajesh, Nitin Raj, A.D. Donnenberg, et al.. (1993). Relationship between IL-2 receptor expression and proliferative responses in lymphocytes from HIV-1 seropositive homosexual men. Clinical & Experimental Immunology. 91(1). 18–24. 11 indexed citations
14.
Au, Wei-Chun, Nitin Raj, Richard Pine, & Paula M. Pitha. (1992). Distinct activation of murine interferon-αpromoter region by IRF-1/ISFG-2 and virus infection. Nucleic Acids Research. 20(11). 2877–2884. 44 indexed citations
15.
Raj, Nitin. (1988). Human Fibroblast but Not Lymphoid Cells Have Unusually Long Polyadenylated Interferon-β1 mRNAs. Journal of Interferon Research. 8(2). 179–192. 1 indexed citations
16.
Bednarik, Daniel P., J D Mosca, & Nitin Raj. (1987). Methylation as a modulator of expression of human immunodeficiency virus. Journal of Virology. 61(4). 1253–1257. 78 indexed citations
17.
Raj, Nitin, et al.. (1985). Differential Regulation of Interferon Synthesis in Lymphoblastoid Cells. Journal of Interferon Research. 5(3). 493–510. 13 indexed citations
18.
Mizoguchi, Junzo, Paula M. Pitha, & Nitin Raj. (1985). Efficient Expression in Escherichia coli of Two Species of Human Interferon-α and Their Hybrid Molecules. DNA. 4(3). 221–232. 29 indexed citations
19.
Neurath, A. R., N. Strick, Nitin Raj, & Paula M. Pitha. (1982). Radioimmunoassay of Human Beta Interferon. Journal of Interferon Research. 2(1). 51–57. 7 indexed citations
20.
Raj, Nitin & Paula M. Pitha. (1981). Interferon Heterogeneity Resulting from Differences in Glycosylation. Journal of Interferon Research. 1(4). 595–599. 4 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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