Sita Reddy

3.5k citations
49 papers · 2.7k indexed · h-index 27
Topics
Genetic Neurodegenerative Diseases (30 papers)Mitochondrial Function and Pathology (18 papers)Muscle Physiology and Disorders (14 papers)

In The Last Decade

Sita Reddy

49 papers receiving 2.7k citations

Peers

Sita Reddy
Comparison fields: 5 of 93
  • Molecular Biology 2.4k
  • Cellular and Molecular Neuroscience 1.5k
  • Cardiology and Cardiovascular Medicine 413
  • Neurology 242
  • Genetics 179
Replace Mani S. Mahadevan with:
Mani S. Mahadevan United States
Julia Rankin United Kingdom
Rita Barresi United Kingdom
Rumaisa Bashir United Kingdom
Monica Narang Canada
Katsuhiro Kato Japan
Helen Griffin United Kingdom
Norma B. Romero France
Carlo Rinaldi Italy
Annachiara De Sandre‐Giovannoli France
Sita Reddy relative to Mani S. Mahadevan United States Mani S. Mahadevan's profile →
Citations per field
00.5×1.5×
Mani S. Mahadevan · 1×
Citations per year

Countries citing papers authored by Sita Reddy

Since Specialization
Citations

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

Fields of papers citing papers by Sita Reddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sita Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of Sita Reddy. A scholar is included among the top collaborators of Sita Reddy 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 Sita Reddy. Sita Reddy 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 22
2 33
3 383
4 63
5 40
6 32
7 36
8 1
9 162
10 10
11 12
12 56
13 141
14 31
15 138
16 59
17 4
18 254
19 28
20 12

About Sita Reddy

Sita Reddy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (30 papers), Mitochondrial Function and Pathology (18 papers) and Muscle Physiology and Disorders (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Molecular Biology (2.4k citations) and Aging (40 citations). Sita Reddy has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lucio Comai, Warunee Dansithong, Sharan Paul, David E. Housman, Sonali P. Jog, Lubov Timchenko, Partha S. Sarkar, Nikolai A. Timchenko, Tetsuo Ashizawa and Alana L. Welm. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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