Ravi Kumar Gutti

90 total papers · 1.9k total citations
59 papers, 1.3k citations indexed

About

Ravi Kumar Gutti is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Ravi Kumar Gutti has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 17 papers in Hematology and 14 papers in Cancer Research. Recurrent topics in Ravi Kumar Gutti's work include Platelet Disorders and Treatments (13 papers), Cancer-related molecular mechanisms research (12 papers) and MicroRNA in disease regulation (9 papers). Ravi Kumar Gutti is often cited by papers focused on Platelet Disorders and Treatments (13 papers), Cancer-related molecular mechanisms research (12 papers) and MicroRNA in disease regulation (9 papers). Ravi Kumar Gutti collaborates with scholars based in India, United States and Germany. Ravi Kumar Gutti's co-authors include Sanjeev Raghuwanshi, Ram Babu Undi, Swati Dahariya, Indira Paddibhatla, Santosh Kumar, Ravinder Kandi, Usha Gutti, Chon‐Hwa Tsai‐Morris, Maria Dufau and Hanuma Kumar Karnati and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ravi Kumar Gutti

56 papers receiving 1.3k citations

Hit Papers

Long non-coding RNA: Clas... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ravi Kumar Gutti 775 525 206 143 121 59 1.3k
Maria Laura De Marchis 986 1.3× 752 1.4× 132 0.6× 174 1.2× 124 1.0× 50 1.6k
Li Ding 706 0.9× 262 0.5× 151 0.7× 94 0.7× 102 0.8× 80 1.3k
Sen Lu 866 1.1× 647 1.2× 69 0.3× 132 0.9× 111 0.9× 62 1.5k
Maria Marone 975 1.3× 155 0.3× 203 1.0× 183 1.3× 198 1.6× 43 1.7k
Jiajie Tu 835 1.1× 457 0.9× 84 0.4× 465 3.3× 87 0.7× 60 1.7k
Yue Sheng 773 1.0× 206 0.4× 93 0.5× 131 0.9× 141 1.2× 66 1.3k
Juan Li 855 1.1× 512 1.0× 65 0.3× 153 1.1× 48 0.4× 82 1.4k
Jarnail Singh 1.1k 1.5× 257 0.5× 69 0.3× 51 0.4× 128 1.1× 56 1.6k
Joo‐In Park 882 1.1× 218 0.4× 160 0.8× 209 1.5× 126 1.0× 60 1.7k
G. Ragnotti 937 1.2× 261 0.5× 69 0.3× 276 1.9× 106 0.9× 69 1.6k

Countries citing papers authored by Ravi Kumar Gutti

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Kumar Gutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravi Kumar Gutti. 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 Ravi Kumar Gutti. The network helps show where Ravi Kumar Gutti may publish in the future.

Co-authorship network of co-authors of Ravi Kumar Gutti

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

All Works

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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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