Meeta Sadani

443 citations
13 papers · 299 indexed · h-index 10
Topics
Tuberculosis Research and Epidemiology (13 papers)Mycobacterium research and diagnosis (11 papers)Cancer therapeutics and mechanisms (3 papers)
Partner nations
IndiaUnited StatesFrance

In The Last Decade

Meeta Sadani

13 papers receiving 289 citations

Peers

Meeta Sadani
Comparison fields: 5 of 35
  • Infectious Diseases 265
  • Epidemiology 238
  • Surgery 115
  • Molecular Biology 47
  • Molecular Medicine 25
Replace Kazue Hirano with:
Kazue Hirano Japan
Dorte Bek Folkvardsen Denmark
Shu-Kuan Wang Taiwan
Bárbara Molina-Moya Spain
Juan Carlos Toro Sweden
Ramona Groenheit Sweden
Simone Gonçalves Senna Brazil
Montserrat Garrigó Spain
Rico Hömke Switzerland
Natalie Beylis South Africa
Meeta Sadani relative to Kazue Hirano Japan Kazue Hirano's profile →
Citations per field
00.5×
Kazue Hirano · 1×
Citations per year

Countries citing papers authored by Meeta Sadani

Since Specialization
Citations

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

Fields of papers citing papers by Meeta Sadani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meeta Sadani

This figure shows the co-authorship network connecting the top 25 collaborators of Meeta Sadani. A scholar is included among the top collaborators of Meeta Sadani 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 Meeta Sadani. Meeta Sadani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 31
2 17
3 4
4 8
5 42
6 22
7 31
8 8
9 29
10 22
11
Can cord formation in BACTEC MGIT 960 medium be used as a presumptive method for identification of M. tuberculosis complex?
9
12 60
13
Comparison of phenotypic and genotypic methods for pyrazinamide susceptibility testing.
16

About Meeta Sadani

Meeta Sadani is a scholar working on Infectious Diseases, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 13 papers that have together received 299 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (11 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Infectious Diseases (265 citations), Epidemiology (238 citations) and Microbiology (4 citations). Meeta Sadani has collaborated with scholars based in India, United States and France. Frequent co-authors include Camilla Rodrigues, Anjali Shetty, Kanchan Ajbani, Zarir Udwadia, Priti Kambli, Shubhada Shenai, Ajita Mehta, Chaitali Nikam, Timothy C. Rodwell and Antonino Catanzaro. Their work appears in journals such as PLoS ONE, European Spine Journal and Diagnostic Microbiology and Infectious Disease.

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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