Megha Sharma

2.2k citations
127 papers · 1.4k indexed · h-index 21
Topics
Tuberculosis Research and Epidemiology (32 papers)Infectious Diseases and Tuberculosis (26 papers)Mycobacterium research and diagnosis (25 papers)
Journals
SHILAP Revista de lepidopterologíaChemosphereAntimicrobial Agents and Chemotherapy
Partner nations
IndiaUnited StatesCanada

In The Last Decade

Megha Sharma

115 papers receiving 1.4k citations

Peers

Megha Sharma
Comparison fields: 5 of 140
  • Epidemiology 455
  • Infectious Diseases 455
  • Surgery 329
  • Molecular Biology 208
  • Molecular Medicine 203
Replace Shukla Das with:
Shukla Das India
Azar Dokht Khosravi Iran
Iraj Pakzad Iran
Tanittha Chatsuwan Thailand
Hyun Soo Kim South Korea
Charalampos Antachopoulos Greece
Isao Nishi Japan
Henry Kajumbula Uganda
Heinrich K. Geiss Germany
Mark D. Gonzalez United States
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Citations per field
00.5×5.1×
Shukla Das · 1×
Citations per year

Countries citing papers authored by Megha Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Megha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Megha Sharma. A scholar is included among the top collaborators of Megha 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 Megha Sharma. Megha 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 0
2 1
3 3
4 3
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6 15
7 7
8 9
9 10
10 5
11 21
12 32
13 20
14 20
15 39
16 18
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Abrasive wear performance of SiC-UHMWPE nano-composites – Influence of amount and size
1
18
Changes in chemical constituents of guava-jamun blends ready-to-serve drink and squash during storage.
2
19
Studies on physico-chemical composition fresh guava and jamun fruits.
2
20
Preparation, evaluation and hair growth stimulating activity of herbal hair oil.
29

About Megha Sharma

Megha Sharma is a scholar working on Infectious Diseases, Endocrinology and Microbiology, having authored 127 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (32 papers), Infectious Diseases and Tuberculosis (26 papers) and Mycobacterium research and diagnosis (25 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (84 citations), Molecular Medicine (203 citations) and Endocrinology (134 citations). Megha Sharma has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Neelam Taneja, Aman Sharma, Arunaloke Chakrabarti, Pallab Ray, Kusum Sharma, Manish Modi, Vikas Gautam, E. Newbrun, Lipika Singhal and Vishali Gupta. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemosphere and Antimicrobial Agents and Chemotherapy.

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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