Shalini Anandan

2.4k citations
92 papers · 1.4k indexed · h-index 22

Shalini Anandan

92 papers receiving 1.4k citations

Peers

Shalini Anandan
Comparison fields: 5 of 105
  • Molecular Medicine 881
  • Endocrinology 561
  • Applied Microbiology and Biotechnology 196
  • Clinical Biochemistry 139
  • Pollution 173
Replace Ulises Garza–Ramos with:
Ulises Garza–Ramos Mexico
Líbera Maria Dalla-Costa Brazil
Alain A. Ocampo-Sosa Spain
Thomas Guillard France
Catherine Neuwirth France
Jesús Silva-Sánchez Mexico
Fouad Dabboussi Lebanon
Frank Hansen Denmark
Marcelo Galas Argentina
Christine Lascols France
Shalini Anandan relative to Ulises Garza–Ramos Mexico Ulises Garza–Ramos's profile →
Citations per field
00.5×1.5×
Ulises Garza–Ramos · 1×
Citations per year

Countries citing papers authored by Shalini Anandan

Since Specialization
Citations

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

Fields of papers citing papers by Shalini Anandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20204
2 202017
3 20201
4 20209
5 20203
6 201915
7 20198
8 201957
9 20199
10 201920
11 201827
12 201818
13 201741
14 201724
15 201610
16 201686
17 201645
18 20161
19 201633
20 201321

About Shalini Anandan

Shalini Anandan is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (53 papers), Vibrio bacteria research studies (28 papers), Salmonella and Campylobacter epidemiology (22 papers), Bacterial biofilms and quorum sensing (12 papers), Escherichia coli research studies (12 papers), Bacterial Identification and Susceptibility Testing (11 papers), Antibiotic Use and Resistance (10 papers) and Antibiotics Pharmacokinetics and Efficacy (10 papers). The work is most often cited by research in Molecular Medicine (881 citations), Endocrinology (561 citations) and Applied Microbiology and Biotechnology (196 citations). Shalini Anandan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Balaji Veeraraghavan, Dhiviya Prabaa Muthuirulandi Sethuvel, Naveen Kumar Devanga Ragupathi, Agila Kumari Pragasam, Kāmini Walia, Saranya Vijayakumar, Chaitra Shankar, Indranil Biswas, Purva Mathur and Valsan Philip Verghese. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Microbiology.

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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