Suchitra Sharma

419 citations
14 papers · 323 · h-index 8

Impact in

    • Developmental Biology and Gene Regulation
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Gut microbiota and health

Papers in

Suchitra Sharma

14 papers receiving 319 citations

Peers

Suchitra Sharma
Comparison fields: 5 of 63
  • Molecular Biology 210
  • Biochemistry 16
  • Endocrinology, Diabetes and Metabolism 40
  • Genetics 60
  • Biochemistry 12
Replace Silvia Castiglioni with:
Silvia Castiglioni Italy
L. Leng China
Yang Cui China
Takayasu Motoyama Japan
Tao Tang China
Manjun Cai China
Sybille Lorenz Germany
Takako Awano Japan
C. R. Maity India
Suchitra Sharma relative to Silvia Castiglioni Italy Silvia Castiglioni's profile →
Citations per field
00.5×1.5×2.5×
Silvia Castiglioni · 1×
Citations per year

Countries citing papers authored by Suchitra Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Suchitra Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suchitra Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suchitra Sharma Line = papers co-authored together Suchitra Sharma links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1990170
2 200948
3 201228
4 202115
5 202111
6 202211
7 202310
8 20087
9 20217
10 20217
11 20225
12 20242
13 20241
14 20231

About Suchitra Sharma

Suchitra Sharma is a scholar working on Molecular Biology, Small Animals, Animal Science and Zoology, Food Science and Infectious Diseases, having authored 14 papers that have together received 323 indexed citations. Recurring topics across this work include Gut microbiota and health (6 papers), Animal Nutrition and Physiology (3 papers), Meat and Animal Product Quality (2 papers), Animal Behavior and Welfare Studies (2 papers), Dermatology and Skin Diseases (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Probiotics and Fermented Foods (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Molecular Biology (210 citations), Biochemistry (16 citations), Endocrinology, Diabetes and Metabolism (40 citations), Genetics (60 citations) and Biochemistry (12 citations). Suchitra Sharma has collaborated with scholars based in Austria, Indonesia and Thailand. Frequent co-authors include S Celniker, E. B. Lewis, Barbara U. Metzler-Zebeli, S. Sujatha, Vinay S. Bansal, Shivani Mittra, Chandrakant Katiyar, Rangarajan Badri Narayanan, Ruchi Tandon and Suchita Singh. Their work appears in journals such as Journal of Animal Science, British Poultry Science, Nutrients, Journal of Diabetes and Frontiers in Sustainable Food Systems.

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.

Explore authors with similar magnitude of impact