Susan Idicula‐Thomas
- Microbiology top 0.2%
- Antimicrobial Peptides and Activities 10
- Molecular Biology top 5%
- Biochemical and Structural Characterization 8
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 5
- Protein purification and stability 4
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones 8
- Immunology top 10%
- Biotechnology top 10%
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- Estrogen and related hormone effects 6
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- Reproductive Biology and Fertility 4
- Co-authors
- Ram Shankar BaraiFaiza Hanif WaghuPratima GurungPetety V. BalajiShreyas KarnikVaidyanathan JayaramanValadi K. JayaramanPranay Ramteke
- Journals
- Nucleic Acids Research (5 papers)SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Susan Idicula‐Thomas
60 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Microbiology 1.3k
- Molecular Biology 1.7k
- Reproductive Medicine 133
- Immunology 255
- Biotechnology 94
Countries citing papers authored by Susan Idicula‐Thomas
This map shows the geographic impact of Susan Idicula‐Thomas'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 Susan Idicula‐Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Idicula‐Thomas more than expected).
Fields of papers citing papers by Susan Idicula‐Thomas
This network shows the impact of papers produced by Susan Idicula‐Thomas. 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 Susan Idicula‐Thomas. The network helps show where Susan Idicula‐Thomas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Susan Idicula‐Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 31 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2017 | 14 | |
| 13 | 2014 | 26 | |
| 14 | 2014 | 11 | |
| 15 | Protein aggregation: a perspective from amyloid and inclusion-body formation | 2011 | 10 |
| 16 | 2011 | 36 | |
| 17 | 2009 | 355 | |
| 18 | 2007 | 18 | |
| 19 | 2005 | 28 | |
| 20 | 2005 | 138 |
About Susan Idicula‐Thomas
Susan Idicula‐Thomas is a scholar working on Reproductive Medicine, Microbiology and Virology, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (10 papers), Hypothalamic control of reproductive hormones (8 papers), Biochemical and Structural Characterization (8 papers), Estrogen and related hormone effects (6 papers), Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (5 papers), Reproductive Biology and Fertility (4 papers) and Protein purification and stability (4 papers). The work is most often cited by research in Microbiology (1.3k citations), Molecular Biology (1.7k citations) and Reproductive Medicine (133 citations). Susan Idicula‐Thomas has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Ram Shankar Barai, Faiza Hanif Waghu, Pratima Gurung, Petety V. Balaji, Shreyas Karnik, Vaidyanathan Jayaraman, Valadi K. Jayaraman, Pranay Ramteke, Bilal Nizami and Bhaskar D. Kulkarni. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.
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.