Bryan C. Nikolai

642 total citations
12 papers, 433 citations indexed

About

Bryan C. Nikolai is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Bryan C. Nikolai has authored 12 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Virology and 4 papers in Infectious Diseases. Recurrent topics in Bryan C. Nikolai's work include HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (3 papers) and Estrogen and related hormone effects (2 papers). Bryan C. Nikolai is often cited by papers focused on HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (3 papers) and Estrogen and related hormone effects (2 papers). Bryan C. Nikolai collaborates with scholars based in United States, Norway and China. Bryan C. Nikolai's co-authors include Bert W. O’Malley, Sung Yun Jung, Subhamoy Dasgupta, David M. Lonard, Sophia Y. Tsai, Jong Min Choi, Thomas F. Westbrook, Cristian Coarfa, Charles E. Foulds and Kimal Rajapakshe and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Bryan C. Nikolai

11 papers receiving 430 citations

Peers

Bryan C. Nikolai
Prakriti Mudvari United States
Bo Gu United States
Chiel Maas Netherlands
Zhengke Li United States
Hsing‐Jien Kung United States
Bryan C. Nikolai
Citations per year, relative to Bryan C. Nikolai Bryan C. Nikolai (= 1×) peers Raghavendra A. Shamanna

Countries citing papers authored by Bryan C. Nikolai

Since Specialization
Citations

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

Fields of papers citing papers by Bryan C. Nikolai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan C. Nikolai. 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 Bryan C. Nikolai. The network helps show where Bryan C. Nikolai may publish in the future.

Co-authorship network of co-authors of Bryan C. Nikolai

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

All Works

12 of 12 papers shown
1.
Liu, Hongbing, Julien Dubrulle, Fabio Stossi, et al.. (2021). Identification of celastrol as a novel HIV-1 latency reversal agent by an image-based screen. PLoS ONE. 16(4). e0244771–e0244771. 1 indexed citations
2.
Nikolai, Bryan C., Prashi Jain, Brian York, et al.. (2021). Steroid receptor coactivator 3 (SRC-3/AIB1) is enriched and functional in mouse and human Tregs. Scientific Reports. 11(1). 3441–3441. 16 indexed citations
3.
Candelaria, Nicholes R., Kwong‐Kwok Wong, Bryan C. Nikolai, et al.. (2018). USP15-dependent lysosomal pathway controls p53-R175H turnover in ovarian cancer cells. Nature Communications. 9(1). 1270–1270. 67 indexed citations
4.
Dasgupta, Subhamoy, Kimal Rajapakshe, Bokai Zhu, et al.. (2018). Metabolic enzyme PFKFB4 activates transcriptional coactivator SRC-3 to drive breast cancer. Nature. 556(7700). 249–254. 185 indexed citations
5.
Liu, Hongbing, et al.. (2017). Proteomic Profiling of a Primary CD4 + T Cell Model of HIV-1 Latency Identifies Proteins Whose Differential Expression Correlates with Reactivation of Latent HIV-1. AIDS Research and Human Retroviruses. 34(1). 103–110. 3 indexed citations
6.
Nikolai, Bryan C. & Qin Feng. (2017). HIV Latency Gets a New Histone Mark. Cell Host & Microbe. 21(5). 549–550. 4 indexed citations
7.
Zhang, Zheng, Bryan C. Nikolai, Leah Gates, et al.. (2017). Crosstalk between histone modifications indicates that inhibition of arginine methyltransferase CARM1 activity reverses HIV latency. Nucleic Acids Research. 45(16). 9348–9360. 45 indexed citations
8.
Rousseau, Cyril, Bryan C. Nikolai, Marianne Maquart, et al.. (2017). Enquête de séroprévalence suite à un foyer de dengue, France métropolitaine, novembre 2015. Médecine et Maladies Infectieuses. 47(4). S58–S58.
9.
Nikolai, Bryan C., Rainer B. Lanz, Brian York, et al.. (2016). HER2 Signaling Drives DNA Anabolism and Proliferation through SRC-3 Phosphorylation and E2F1-Regulated Genes. Cancer Research. 76(6). 1463–1475. 34 indexed citations
10.
York, Brian, Chundong Yu, Jørn V. Sagen, et al.. (2010). Reprogramming the posttranslational code of SRC-3 confers a switch in mammalian systems biology. Proceedings of the National Academy of Sciences. 107(24). 11122–11127. 33 indexed citations
11.
Agarwal, Sumit, et al.. (2006). Construction and Use of Retroviral Vectors Encoding the Toxic Gene Barnase. Molecular Therapy. 14(4). 555–563. 23 indexed citations
12.
Agarwal, Sumit, Josephine N. Harada, Bryan C. Nikolai, et al.. (2006). Isolation, characterization, and genetic complementation of a cellular mutant resistant to retroviral infection. Proceedings of the National Academy of Sciences. 103(43). 15933–15938. 22 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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