Susan Idicula‐Thomas

3.2k citations
63 papers · 2.4k indexed · 2 hit papers · h-index 20

Susan Idicula‐Thomas

60 papers receiving 2.3k citations

Hit Papers

CAMPR4: a database of natural ...1442015202620182022100200300400500

Peers

Susan Idicula‐Thomas
Comparison fields: 5 of 118
  • Microbiology 1.3k
  • Molecular Biology 1.7k
  • Reproductive Medicine 133
  • Immunology 255
  • Biotechnology 94
Replace Ram Shankar Barai with:
Ram Shankar Barai India
Anna Goździcka‐Józefiak Poland
Teresa Santos-Mendoza Mexico
Scott Napper Canada
Song Yub Shin South Korea
Li Zhu China
Masahiko Ito Japan
F. Audibert France
R. Yamamoto United States
Susan Idicula‐Thomas relative to Ram Shankar Barai India Ram Shankar Barai's profile →
Citations per field
00.5×3.0×
Ram Shankar Barai · 1×
Citations per year

Countries citing papers authored by Susan Idicula‐Thomas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Susan Idicula‐Thomas Line = papers co-authored together Susan Idicula‐Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20231
3 20232
4 202131
5 20215
6 20212
7 20213
8 202111
9 20208
10 20204
11 20194
12 201714
13 201426
14 201411
15
Protein aggregation: a perspective from amyloid and inclusion-body formation
201110
16 201136
17 2009355
18 200718
19 200528
20 2005138

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.

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