Anurag Sharma

1.8k citations
46 papers · 1.2k indexed · 2 hit papers · h-index 16

Anurag Sharma

43 papers receiving 1.2k citations

Hit Papers

Cellular ATP demand ...1022018202620202023100200300

Peers

Anurag Sharma
Comparison fields: 5 of 150
  • Biotechnology 100
  • Plant Science 426
  • Molecular Biology 515
  • Biochemistry 32
  • Industrial and Manufacturing Engineering 37
Replace Mohammad Ali Hosseinpour Feizi with:
Mohammad Ali Hosseinpour Feizi Iran
Jennifer Kuzma United States
R. K. Mishra India
Richard D. Phillips United States
Edward M. Davis United States
Steven A. Hill United Kingdom
B. Schulze Germany
Swati Tyagi India
Yiqin Wang China
Anurag Sharma relative to Mohammad Ali Hosseinpour Feizi Iran Mohammad Ali Hosseinpour Feizi's profile →
Citations per field
00.5×3.7×
Mohammad Ali Hosseinpour Feizi · 1×
Citations per year

Countries citing papers authored by Anurag Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anurag Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Anurag 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 Anurag Sharma Line = papers co-authored together Anurag Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2
Cellular ATP demand creates metabolically distinct subpopulations of mitochondriabreakdown →
2024102
3 20242
4 20241
5 202326
6 20235
7 20232
8 20231
9 20225
10 202214
11 202114
12 202126
13 202027
14 201930
15 201547
16 20146
17 20121
18 201129
19 201013
20 200940

About Anurag Sharma

Anurag Sharma is a scholar working on Biotechnology, Business and International Management and Pharmaceutical Science, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (7 papers), Enzyme Structure and Function (6 papers), Photosynthetic Processes and Mechanisms (6 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers), Drug Solubulity and Delivery Systems (3 papers), Plant Stress Responses and Tolerance (3 papers), Alzheimer's disease research and treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Biotechnology (100 citations), Plant Science (426 citations) and Molecular Biology (515 citations). Anurag Sharma has collaborated with scholars based in India, United States and Denmark. Frequent co-authors include Mathias Pribil, Moni Kumari, Medicherla V. Jagannadham, Cornelia Spetea, Andrei Herdean, Steen Husted, Andreas Carstensen, Sidsel Birkelund Schmidt, H. Amalia Pasolli and Amanda Starling-Windhof. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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