Ana Raman

514 total citations
10 papers, 389 citations indexed

About

Ana Raman is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Ana Raman has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 1 paper in Oncology. Recurrent topics in Ana Raman's work include RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers) and Epigenetics and DNA Methylation (2 papers). Ana Raman is often cited by papers focused on RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers) and Epigenetics and DNA Methylation (2 papers). Ana Raman collaborates with scholars based in United States, Netherlands and United Kingdom. Ana Raman's co-authors include Sean D. Taverna, Alan J. Tackett, Venu Raman, Yelena Mironchik, Paul Winnard, Flonné Wildes, Ioannis Stasinopoulos, Paul V. Attfield, Philip J. Farabaugh and Tonya M. Gilbert and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cell Reports.

In The Last Decade

Ana Raman

10 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ana Raman United States	9	340	60	50	44	19	10	389
Lahcen Jaafar United States	11	303 0.9×	39 0.7×	35 0.7×	42 1.0×	34 1.8×	19	377
Sandra Piquet Canada	9	442 1.3×	30 0.5×	83 1.7×	73 1.7×	28 1.5×	10	498
Lisa Muniz France	8	450 1.3×	47 0.8×	61 1.2×	47 1.1×	24 1.3×	11	505
Benjamin Gilman United States	7	558 1.6×	51 0.8×	36 0.7×	30 0.7×	33 1.7×	7	651
Silvia Jimeno-González Spain	12	476 1.4×	27 0.5×	23 0.5×	35 0.8×	26 1.4×	18	516
Toshiko Miyazaki Japan	7	288 0.8×	41 0.7×	54 1.1×	24 0.5×	14 0.7×	8	379
Christiane Rammelt Germany	10	628 1.8×	23 0.4×	42 0.8×	38 0.9×	50 2.6×	13	680
Christophe D. Chabbert United States	7	266 0.8×	109 1.8×	19 0.4×	16 0.4×	25 1.3×	13	319
Giorgio Oliviero Ireland	10	306 0.9×	47 0.8×	23 0.5×	16 0.4×	48 2.5×	16	382
Nicole Averbeck Germany	11	270 0.8×	38 0.6×	34 0.7×	35 0.8×	19 1.0×	15	368

Countries citing papers authored by Ana Raman

Since Specialization

Citations

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

Fields of papers citing papers by Ana Raman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Raman

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

All Works

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10 of 10 papers shown

Raman, Ana, Pengcheng Wei, Annette H. Erbse, et al.. (2024). Molecular insight into interactions between the Taf14, Yng1 and Sas3 subunits of the NuA3 complex. Nature Communications. 15(1). 5335–5335. 1 indexed citations

Voss, Marise R. Heerma van, Farhad Vesuna, Guus M. Bol, et al.. (2017). Nuclear DDX3 expression predicts poor outcome in colorectal and breast cancer. OncoTargets and Therapy. Volume 10. 3501–3513. 24 indexed citations

Su, Zhangli, Fengbin Wang, Jin Hee Lee, et al.. (2016). Reader domain specificity and lysine demethylase-4 family function. Nature Communications. 7(1). 13387–13387. 38 indexed citations

Ringel, Alison E., Samuel G. Mackintosh, Ana Raman, et al.. (2014). The Bromodomain of Gcn5 Regulates Site Specificity of Lysine Acetylation on Histone H3. Molecular & Cellular Proteomics. 13(11). 2896–2910. 67 indexed citations

Raman, Ana, et al.. (2012). ChAP-MS: A Method for Identification of Proteins and Histone Posttranslational Modifications at a Single Genomic Locus. Cell Reports. 2(1). 198–205. 83 indexed citations

Norris, L.C., et al.. (2007). Saturation mutagenesis of a +1 programmed frameshift-inducing mRNA sequence derived from a yeast retrotransposon. RNA. 13(11). 1940–1947. 11 indexed citations

Farabaugh, Philip J., et al.. (2006). Evolution of +1 Programmed Frameshifting Signals and Frameshift-Regulating tRNAs in the Order Saccharomycetales. Journal of Molecular Evolution. 63(4). 545–561. 25 indexed citations

Duriseti, Sai, Paul T. Winnard, Yelena Mironchik, et al.. (2006). HOXA5 Regulates hMLH1 Expression in Breast Cancer Cells. Neoplasia. 8(4). 250–258. 27 indexed citations

Stasinopoulos, Ioannis, Yelena Mironchik, Ana Raman, et al.. (2004). HOXA5-Twist Interaction Alters p53 Homeostasis in Breast Cancer Cells. Journal of Biological Chemistry. 280(3). 2294–2299. 85 indexed citations

10.

Attfield, Paul V., et al.. (1992). Construction ofSaccharomyces cerevisiaestrains that accumulate relatively low concentrations of trehalose, and their application in testing the contribution of the disaccharide to stress tolerance. FEMS Microbiology Letters. 94(3). 271–276. 28 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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