Ramana Gutala

782 total citations
11 papers, 647 citations indexed

About

Ramana Gutala is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Ramana Gutala has authored 11 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Nutrition and Dietetics. Recurrent topics in Ramana Gutala's work include Nicotinic Acetylcholine Receptors Study (4 papers), Alzheimer's disease research and treatments (3 papers) and Prion Diseases and Protein Misfolding (2 papers). Ramana Gutala is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (4 papers), Alzheimer's disease research and treatments (3 papers) and Prion Diseases and Protein Misfolding (2 papers). Ramana Gutala collaborates with scholars based in United States, China and India. Ramana Gutala's co-authors include P. Hemachandra Reddy, Byung Park, Motomi Mori, Robert P. Searles, Joseph F. Quinn, Vincent Yau, Youngsin Jung, Shannon K. McWeeney, Maria Mańczak and Xing Gong and has published in prestigious journals such as Brain Research, Human Molecular Genetics and Annals of the Rheumatic Diseases.

In The Last Decade

Ramana Gutala

11 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramana Gutala United States 10 368 291 101 62 59 11 647
Amit S. Korde United States 11 486 1.3× 263 0.9× 105 1.0× 26 0.4× 42 0.7× 16 814
Hsiu‐Chiung Yang United States 14 498 1.4× 208 0.7× 162 1.6× 95 1.5× 68 1.2× 28 858
De-Hua Chui Japan 7 301 0.8× 419 1.4× 157 1.6× 95 1.5× 35 0.6× 14 699
Inga Volkmann Sweden 11 268 0.7× 474 1.6× 155 1.5× 96 1.5× 21 0.4× 14 706
Wei Qian China 18 522 1.4× 448 1.5× 177 1.8× 101 1.6× 70 1.2× 32 997
Ramon Wade United States 7 459 1.2× 330 1.1× 72 0.7× 94 1.5× 35 0.6× 7 794
Daniel Cacabelos Spain 14 387 1.1× 196 0.7× 88 0.9× 43 0.7× 33 0.6× 19 875
Masaaki Hokama Japan 6 336 0.9× 251 0.9× 81 0.8× 40 0.6× 55 0.9× 9 599
Xiaomin Yin China 15 439 1.2× 398 1.4× 182 1.8× 111 1.8× 77 1.3× 28 875

Countries citing papers authored by Ramana Gutala

Since Specialization
Citations

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

Fields of papers citing papers by Ramana Gutala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramana Gutala

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

All Works

11 of 11 papers shown
1.
Carmona, F. David, Ramana Gutala, Carmen Pilar Simeón‐Aznar, et al.. (2011). Novel identification of the IRF7 region as an anticentromere autoantibody propensity locus in systemic sclerosis. Annals of the Rheumatic Diseases. 71(1). 114–119. 54 indexed citations
2.
Wang, Ju, Jinxue Wei, Dongxiao Sun, et al.. (2011). Genome-Wide Expression Analysis Reveals Diverse Effects of Acute Nicotine Exposure on Neuronal Function-Related Genes and Pathways. Frontiers in Psychiatry. 2. 5–5. 18 indexed citations
3.
Gong, Xing, Ramana Gutala, & Anil K. Jaiswal. (2008). Quinone Oxidoreductases and Vitamin K Metabolism. Vitamins and hormones. 78. 85–101. 71 indexed citations
4.
Gutala, Ramana, et al.. (2007). Strain‐ and region‐specific gene expression profiles in mouse brain in response to chronic nicotine treatment. Genes Brain & Behavior. 7(1). 78–87. 21 indexed citations
5.
Ju, Wang, Ramana Gutala, Dongxiao Sun, et al.. (2007). Regulation of Platelet‐Derived Growth Factor Signaling Pathway by Ethanol, Nicotine, or Both in Mouse Cortical Neurons. Alcoholism Clinical and Experimental Research. 31(3). 357–375. 20 indexed citations
6.
7.
Gutala, Ramana, Denise Carvalho‐Silva, Jin Li, et al.. (2006). A shared Y-chromosomal heritage between Muslims and Hindus in India. Human Genetics. 120(4). 543–551. 17 indexed citations
8.
Reddy, P. Hemachandra, Shannon K. McWeeney, Byung Park, et al.. (2004). Gene expression profiles of transcripts in amyloid precursor protein transgenic mice: up-regulation of mitochondrial metabolism and apoptotic genes is an early cellular change in Alzheimer's disease. Human Molecular Genetics. 13(12). 1225–1240. 275 indexed citations
9.
Gutala, Ramana, et al.. (2004). Microarray Analysis of Ethanol‐Treated Cortical Neurons Reveals Disruption of Genes Related to the Ubiquitin‐Proteasome Pathway and Protein Synthesis. Alcoholism Clinical and Experimental Research. 28(12). 1779–1788. 41 indexed citations
10.
11.
Gutala, Ramana & P. Hemachandra Reddy. (2003). The use of real-time PCR analysis in a gene expression study of Alzheimer’s disease post-mortem brains. Journal of Neuroscience Methods. 132(1). 101–107. 100 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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