Murali Chiravuri

823 citations
13 papers · 639 indexed · h-index 8
Topics
Peptidase Inhibition and Analysis (6 papers)Glycosylation and Glycoproteins Research (3 papers)Signaling Pathways in Disease (3 papers)

In The Last Decade

Murali Chiravuri

12 papers receiving 622 citations

Peers

Murali Chiravuri
Comparison fields: 5 of 60
  • Molecular Biology 425
  • Surgery 241
  • Oncology 191
  • Cellular and Molecular Neuroscience 157
  • Cardiology and Cardiovascular Medicine 64
Replace Alessio Noghero with:
Alessio Noghero Italy
Anna Skorska Germany
Claudine Grépin Canada
Joachim Stjernvall Finland
Xing Jian Lou United States
David C. Zebrowski United States
Víctor Navarro-Tableros Italy
Michelle Spata United States
Wenbin Fu China
Nawin Chanthra Japan
Murali Chiravuri relative to Alessio Noghero Italy Alessio Noghero's profile →
Citations per field
00.5×4.2×
Alessio Noghero · 1×
Citations per year

Countries citing papers authored by Murali Chiravuri

Since Specialization
Citations

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

Fields of papers citing papers by Murali Chiravuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murali Chiravuri

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 1
3 151
4
Committed Ventricular Progenitors in the Islet-1 Lineage Expand and Assemble Into Functional Ventricular Heart Muscle
2
5 0
6 242
7 40
8 10
9 21
10 19
11 77
12 68
13 7

About Murali Chiravuri

Murali Chiravuri is a scholar working on Oncology, Gastroenterology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 639 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Glycosylation and Glycoproteins Research (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (157 citations), Oncology (191 citations) and Molecular Biology (425 citations). Murali Chiravuri has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Brigitte T. Huber, Kenneth R. Chien, Henry Lee, Robert Underwood, Kevin Kit Parker, Ibrahim J. Domian, Xi Shi, Sean M. Wu, Adam W. Feinberg and Peter van der Meer. Their work appears in journals such as Science, Journal of Biological Chemistry and The Journal of Immunology.

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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