Sunita Sharma

1.6k citations
58 papers · 1.2k indexed · h-index 17
Topics
Enzyme Production and Characterization (8 papers)Biofuel production and bioconversion (7 papers)Diet and metabolism studies (4 papers)
Partner nations
United StatesIndiaCanada

In The Last Decade

Sunita Sharma

53 papers receiving 1.1k citations

Peers

Sunita Sharma
Comparison fields: 5 of 114
  • Molecular Biology 574
  • Physiology 176
  • Oncology 175
  • Immunology 139
  • Cellular and Molecular Neuroscience 102
Replace M. Martín with:
M. Martín Argentina
Gabriela Martínez Chile
Youngjeon Lee South Korea
Takahiro Ito United States
Fulvio Celsi Italy
Tzeng‐Horng Leu Taiwan
Minghao Jiang China
Hyunjoo Cha‐Molstad South Korea
N. S. Linkova Russia
Gabriela Salinas-Riester Germany
Sunita Sharma relative to M. Martín Argentina M. Martín's profile →
Citations per field
00.5×1.5×2.3×
M. Martín · 1×
Citations per year

Countries citing papers authored by Sunita Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sunita Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunita Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Sunita Sharma. A scholar is included among the top collaborators of Sunita Sharma 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 Sunita Sharma. Sunita Sharma 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 4
2 1
3 3
4 0
5 7
6 0
7 6
8 3
9 21
10 0
11 7
12 33
13 6
14 1
15 6
16 23
17 262
18
Role of Ubiquitin-proteasome proteolytic pathway in malignant pleural mesothelioma.
1
19 15
20 19

About Sunita Sharma

Sunita Sharma is a scholar working on Biotechnology, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (8 papers), Biofuel production and bioconversion (7 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Aging (30 citations), Biological Psychiatry (39 citations) and Developmental Neuroscience (43 citations). Sunita Sharma has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Sharlene Rakoczy, Holly M. Brown‐Borg, Priya Chaturvedi, E. Premkumar Reddy, D. K. Sandhu, Keith C. Deen, Srinivasa M. Srinivasula, Carol Silverman, Sanjay Khandekar and William V. Williams. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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