Chitra Subramanian

1.8k citations
34 papers · 1.4k indexed · h-index 17
Topics
RNA and protein synthesis mechanisms (7 papers)Neurological diseases and metabolism (6 papers)Photosynthetic Processes and Mechanisms (6 papers)

In The Last Decade

Chitra Subramanian

33 papers receiving 1.4k citations

Peers

Chitra Subramanian
Comparison fields: 5 of 112
  • Molecular Biology 827
  • Infectious Diseases 206
  • Plant Science 186
  • Immunology 160
  • Epidemiology 140
Replace Jonathan G. Swoboda with:
Jonathan G. Swoboda United States
Amit P. Bhavsar Canada
Mariette Matondo France
Susanne C. Feil Australia
Silke Wissing Germany
Anne E. Clatworthy United States
Susanna Navarro Spain
Subramanian Dhandayuthapani United States
Oliver Nüße France
Nadia Cohen United States
Chitra Subramanian relative to Jonathan G. Swoboda United States Jonathan G. Swoboda's profile →
Citations per field
00.5×2.6×
Jonathan G. Swoboda · 1×
Citations per year

Countries citing papers authored by Chitra Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Chitra Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chitra Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Chitra Subramanian. A scholar is included among the top collaborators of Chitra Subramanian 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 Chitra Subramanian. Chitra Subramanian 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 1
3 5
4 11
5 10
6 5
7 14
8 25
9 10
10 28
11 52
12 69
13 138
14 136
15 170
16 99
17 70
18 26
19 5
20 13

About Chitra Subramanian

Chitra Subramanian is a scholar working on Neurology, Clinical Biochemistry and Biophysics, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Neurological diseases and metabolism (6 papers) and Photosynthetic Processes and Mechanisms (6 papers). The work is most often cited by research in Molecular Medicine (93 citations), Microbiology (111 citations) and Molecular Biology (827 citations). Chitra Subramanian has collaborated with scholars based in United States, India and Austria. Frequent co-authors include Charles O. Rock, Suzanne Jackowski, Joshua B. Parsons, Matthew W. Frank, Carl Hirschie Johnson, Albrecht G. von Arnim, Xiaodong Xu, Roberta Leonardi, Panatda Saenkham and Stephen W. White. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

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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