Sushama Michael

2.5k citations
6 papers · 768 · h-index 5

Impact in

    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • Bioinformatics and Genomic Networks
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies

Papers in

    • Ubiquitin and proteasome pathways 4
    • RNA and protein synthesis mechanisms 3
    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2
    • Genomics and Phylogenetic Studies 1
    • Chemical Synthesis and Analysis 1

Sushama Michael

6 papers receiving 765 citations

Peers

Sushama Michael
Comparison fields: 5 of 87
  • Molecular Biology 603
  • Cell Biology 92
  • Aging 5
  • Spectroscopy 45
  • Nutrition and Dietetics 35
Replace B. S. Negrutskii with:
B. S. Negrutskii Ukraine
Luc Canard France
Mary Marfori Australia
Éva Schád Hungary
Alexander Miguel Monzón Italy
Mary R. Hodel United States
Juliana Glavina Argentina
Shui-Zhong Yan United States
Galina A. Zhouravleva Russia
Thakor Patel Norway
Sushama Michael relative to B. S. Negrutskii Ukraine B. S. Negrutskii's profile →
Citations per field
00.5×
B. S. Negrutskii · 1×
Citations per year

Countries citing papers authored by Sushama Michael

Since Specialization
Citations

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

Fields of papers citing papers by Sushama Michael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2013235
2 2019202
3 2021159
4 1992139
5 200829
6 20204

About Sushama Michael

Sushama Michael is a scholar working on Molecular Biology, Pharmacology, Cell Biology, Genetics and Infectious Diseases, having authored 6 papers that have together received 768 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Genomics and Phylogenetic Studies (1 paper), Microtubule and mitosis dynamics (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Molecular Biology (603 citations), Cell Biology (92 citations), Aging (5 citations), Spectroscopy (45 citations) and Nutrition and Dietetics (35 citations). Sushama Michael has collaborated with scholars based in Germany, United Kingdom and Argentina. Frequent co-authors include Toby J. Gibson, Lucía B. Chemes, Norman E. Davey, Barbara Amann, Jeremy M Berg, M. H. Schmidt, Juliana Glavina, Hugo Sámano‐Sánchez, Rita Pancsa and Jelena Čalyševa. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Bioinformatics and Methods in molecular biology.

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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