Abi Manesh

1.7k citations
55 papers · 798 · h-index 14

Impact in

    • COVID-19 Clinical Research Studies
    • Antifungal resistance and susceptibility
    • SARS-CoV-2 and COVID-19 Research
    • Antibiotic Resistance in Bacteria

Papers in

Abi Manesh

50 papers receiving 777 citations

Peers

Abi Manesh
Comparison fields: 5 of 111
  • Infectious Diseases 415
  • Molecular Medicine 106
  • Applied Microbiology and Biotechnology 41
  • Endocrinology 55
  • Neurology 103
Replace Tommaso Lupia with:
Tommaso Lupia Italy
Natasha Bagdasarian Singapore
Se Yoon Park South Korea
Lok Bahadur Shrestha Nepal
Kerrie Watson Australia
Mtebe Majigo Tanzania
Lior Nesher Israel
Muna Almaslamani Qatar
Yu Bin Seo South Korea
Sung‐Ching Pan Taiwan
Abi Manesh relative to Tommaso Lupia Italy Tommaso Lupia's profile →
Citations per field
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Citations per year

Countries citing papers authored by Abi Manesh

Since Specialization
Citations

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

Fields of papers citing papers by Abi Manesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020254
2 200762
3 202147
4 201943
5 202138
6 202032
7 202132
8 201627
9 202123
10 201621
11 201918
12 202316
13 201915
14 202314
15 201813
16 201812
17 202510
18 20239
19 20229
20 20228

About Abi Manesh

Abi Manesh is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Medicine and Pharmacology, having authored 55 papers that have together received 798 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Infectious Diseases and Tuberculosis (11 papers), Antifungal resistance and susceptibility (8 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Tuberculosis Research and Epidemiology (7 papers), Antibiotic Use and Resistance (5 papers), Fungal Infections and Studies (5 papers) and Sinusitis and nasal conditions (5 papers). The work is most often cited by research in Infectious Diseases (415 citations), Molecular Medicine (106 citations), Applied Microbiology and Biotechnology (41 citations), Endocrinology (55 citations) and Neurology (103 citations). Abi Manesh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include George M. Varghese, Rajiv Karthik, Rebecca John, Balaji Veeraraghavan, Priscilla Rupali, T. Sheldon, Kate E. Pickett, Roy Carr‐Hill, Divyani Garg and Chaitra Shankar. Their work appears in journals such as International Journal of Infectious Diseases, International Journal of STD & AIDS, Mycoses, Clinical Microbiology and Infection 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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