Parvathi Rudrabhatla

1.1k citations
22 papers · 918 indexed · h-index 18
Topics
Cellular transport and secretion (5 papers)Nerve injury and regeneration (5 papers)Signaling Pathways in Disease (5 papers)

In The Last Decade

Parvathi Rudrabhatla

21 papers receiving 913 citations

Peers

Parvathi Rudrabhatla
Comparison fields: 5 of 91
  • Molecular Biology 513
  • Physiology 199
  • Cell Biology 192
  • Plant Science 172
  • Oncology 154
Replace Nadine Schmidt with:
Nadine Schmidt Germany
Rosalba D’Alessandro Italy
Shruti Nayak United States
Svetlana Gorodin Israel
Victor Bustos United States
Mariana Melani Argentina
Masami Kaneko Japan
Dianbo Qu Canada
Wayne Albers United States
Sungmin Song South Korea
Parvathi Rudrabhatla relative to Nadine Schmidt Germany Nadine Schmidt's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Parvathi Rudrabhatla

Since Specialization
Citations

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

Fields of papers citing papers by Parvathi Rudrabhatla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parvathi Rudrabhatla

This figure shows the co-authorship network connecting the top 25 collaborators of Parvathi Rudrabhatla. A scholar is included among the top collaborators of Parvathi Rudrabhatla 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 Parvathi Rudrabhatla. Parvathi Rudrabhatla 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
#WorkIndexed citations
1 0
2 61
3 9
4 64
5 40
6 28
7 94
8 26
9 52
10 72
11 28
12 64
13 25
14 85
15 1
16 109
17 1
18 20
19 18
20 60

About Parvathi Rudrabhatla

Parvathi Rudrabhatla is a scholar working on Cell Biology, Biotechnology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 918 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Nerve injury and regeneration (5 papers) and Signaling Pathways in Disease (5 papers). The work is most often cited by research in Cell Biology (192 citations), Physiology (199 citations) and Cellular and Molecular Neuroscience (137 citations). Parvathi Rudrabhatla has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Harish C. Pant, Ram Rajasekharan, Howard Jaffe, Mamatha M. Reddy, Niranjana D. Amin, Wayne Albers, Philip Grant, Ashok B. Kulkarni, Elías Utreras and Sashi Kesavapany. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The EMBO Journal.

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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