Martin E. Nau

1.6k total citations
25 papers, 1.2k citations indexed

About

Martin E. Nau is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Martin E. Nau has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Virology and 7 papers in Immunology. Recurrent topics in Martin E. Nau's work include HIV Research and Treatment (8 papers), Neuroscience of respiration and sleep (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Martin E. Nau is often cited by papers focused on HIV Research and Treatment (8 papers), Neuroscience of respiration and sleep (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Martin E. Nau collaborates with scholars based in United States, Belgium and Uganda. Martin E. Nau's co-authors include Rosemary C. Borke, Maryanne Vahey, Robert L. Ringler, György Petrovics, Isabell A. Sesterhenn, David G. McLeod, Shiv Srivastava, Judd W. Moul, Syed Shaheduzzaman and Vasantha Srikantan and has published in prestigious journals such as Science, Blood and Oncogene.

In The Last Decade

Martin E. Nau

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin E. Nau United States 17 526 284 281 238 143 25 1.2k
Randolph P. Matthews United States 22 858 1.6× 191 0.7× 138 0.5× 216 0.9× 91 0.6× 47 1.9k
Jeremy Segal United States 14 187 0.4× 113 0.4× 426 1.5× 192 0.8× 337 2.4× 27 1.1k
Amy E. Berson United States 12 437 0.8× 36 0.1× 146 0.5× 97 0.4× 91 0.6× 15 1.3k
Judit Garriga United States 23 1.3k 2.6× 67 0.2× 268 1.0× 104 0.4× 196 1.4× 35 1.9k
Luping Shen United States 16 785 1.5× 37 0.1× 107 0.4× 83 0.3× 145 1.0× 29 1.5k
Valeriya Gaysinskaya United States 17 479 0.9× 44 0.2× 72 0.3× 70 0.3× 102 0.7× 19 1.8k
M. Bergeron Canada 20 342 0.7× 39 0.1× 188 0.7× 145 0.6× 211 1.5× 43 1.1k
Sarah L. Davies United Kingdom 22 926 1.8× 135 0.5× 52 0.2× 45 0.2× 825 5.8× 63 2.5k
Ernest Barbosa United States 16 453 0.9× 73 0.3× 94 0.3× 26 0.1× 172 1.2× 19 1.1k
Hongju Wu United States 28 1.1k 2.2× 106 0.4× 37 0.1× 125 0.5× 107 0.7× 64 2.0k

Countries citing papers authored by Martin E. Nau

Since Specialization
Citations

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

Fields of papers citing papers by Martin E. Nau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin E. Nau. 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 Martin E. Nau. The network helps show where Martin E. Nau may publish in the future.

Co-authorship network of co-authors of Martin E. Nau

This figure shows the co-authorship network connecting the top 25 collaborators of Martin E. Nau. A scholar is included among the top collaborators of Martin E. Nau 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 Martin E. Nau. Martin E. Nau 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.
Eller, Michael A., Ting Hong, Martin E. Nau, et al.. (2019). Activated PD-1+ CD4+ T cells represent a short-lived part of the viral reservoir and predict poor immunologic recovery upon initiation of ART. AIDS. 34(2). 197–202. 7 indexed citations
2.
Ananworanich, Jintanat, Nicolas Chomont, Eugène Kroon, et al.. (2016). HIV DNA Set Point is Rapidly Established in Acute HIV Infection and Dramatically Reduced by Early ART. EBioMedicine. 11. 68–72. 169 indexed citations
3.
Hu, Haitao, Martin E. Nau, Philip K. Ehrenberg, et al.. (2012). Distinct gene-expression profiles associated with the susceptibility of pathogen-specific CD4 T cells to HIV-1 infection. Blood. 121(7). 1136–1144. 35 indexed citations
4.
Vahey, Maryanne, Zhining Wang, Kent E. Kester, et al.. (2010). Expression of Genes Associated with Immunoproteasome Processing of Major Histocompatibility Complex Peptides Is Indicative of Protection with Adjuvanted RTS,S Malaria Vaccine. The Journal of Infectious Diseases. 201(4). 580–589. 84 indexed citations
5.
Furusato, Bungo, Toshiyuki Tsunoda, Syed Shaheduzzaman, et al.. (2009). Osteoblast-specific Factor 2 Expression in Prostate Cancer-associated Stroma: Identification Through Microarray Technology. Urology. 75(4). 768–772. 3 indexed citations
6.
Vahey, Maryanne, Linghua Wang, Zhaohui Su, et al.. (2008). CD4 + T-Cell Decline after the Interruption of Antiretroviral Therapy in ACTG A5170 Is Predicted by Differential Expression of Genes in the Ras Signaling Pathway. AIDS Research and Human Retroviruses. 24(8). 1047–1066. 5 indexed citations
7.
Vahey, Maryanne, et al.. (2007). Impact of Antiretroviral Treatment on Gene Expression in Peripheral Blood Mononuclear Cells from SIVmac251–Infected Macaques. The Journal of Infectious Diseases. 196(3). 384–393. 3 indexed citations
8.
Shaheduzzaman, Syed, Bungo Furusato, Jennifer Cullen, et al.. (2007). Silencing of lactotransferrin expression by methylation in prostate cancer progression. Cancer Biology & Therapy. 6(7). 1088–1095. 46 indexed citations
9.
Petrovics, György, Aijun Liu, Syed Shaheduzzaman, et al.. (2005). Frequent overexpression of ETS-related gene-1 (ERG1) in prostate cancer transcriptome. Oncogene. 24(23). 3847–3852. 265 indexed citations
10.
11.
Vahey, Maryanne, et al.. (2003). Patterns of Gene Expression in Peripheral Blood Mononuclear Cells of Rhesus Macaques Infected with SIVmac251 and Exhibiting Differential Rates of Disease Progression. AIDS Research and Human Retroviruses. 19(5). 369–387. 32 indexed citations
12.
Vahey, Maryanne, Martin E. Nau, Linda L. Jagodzinski, et al.. (2002). Impact of Viral Infection on the Gene Expression Profiles of Proliferating Normal Human Peripheral Blood Mononuclear Cells Infected with HIV Type 1 RF. AIDS Research and Human Retroviruses. 18(3). 179–192. 36 indexed citations
13.
Segawa, Takehiko, Martin E. Nau, Linda Xu, et al.. (2002). Androgen-induced expression of endoplasmic reticulum (ER) stress response genes in prostate cancer cells. Oncogene. 21(57). 8749–8758. 117 indexed citations
14.
Nau, Martin E., et al.. (2002). Relationship between Chloroquine Toxicity and Iron Acquisition in Saccharomyces cerevisiae. Antimicrobial Agents and Chemotherapy. 46(3). 787–796. 25 indexed citations
15.
16.
Borke, Rosemary C., et al.. (1995). The progression of deafferentation as a retrograde reaction to hypoglossal nerve injury. Journal of Neurocytology. 24(10). 763–774. 6 indexed citations
17.
Borke, Rosemary C., Martin E. Nau, & Donald B. Newman. (1988). Reticulo- and trigemino-hypoglossal connections: A quantitative comparison of ultrastructural substrates. Brain Research Bulletin. 21(5). 795–803. 10 indexed citations
18.
Borke, Rosemary C. & Martin E. Nau. (1987). The ultrastructural morphology and distribution of trigeminohypoglossal connections labeled with horseradish peroxidase. Brain Research. 422(2). 235–241. 21 indexed citations
19.
Borke, Rosemary C. & Martin E. Nau. (1986). Factors affecting the ultrastructural pattern of anterograde labeling in axon terminals with HRP. Brain Research Bulletin. 16(2). 259–265. 4 indexed citations
20.
Borke, Rosemary C., Martin E. Nau, & Robert L. Ringler. (1983). Brain stem afferents of hypoglossal neurons in the rat. Brain Research. 269(1). 47–55. 128 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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