Keya Sau

1.4k citations
48 papers · 1.1k · h-index 15

Impact in

Papers in

    • RNA and protein synthesis mechanisms 24
    • Genomics and Phylogenetic Studies 9
    • Biochemical and Structural Characterization 5
    • Bacteriophages and microbial interactions 28

Keya Sau

46 papers receiving 1.1k citations

Peers

Keya Sau
Comparison fields: 5 of 73
  • Infectious Diseases 432
  • Microbiology 96
  • Ecology 259
  • Immunology 199
  • Endocrinology 44
Replace Flavia Squeglia with:
Flavia Squeglia Italy
Meenakshi Malik United States
Olga Danilchanka United States
Martin Rosenberg United States
Muhsin Özel Germany
Nicole Pecora United States
Jon Cuccui United Kingdom
Jordan Kriakov United States
Jonathan M. Budzik United States
Roberta Provvedi Italy
Keya Sau relative to Flavia Squeglia Italy Flavia Squeglia's profile →
Citations per field
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Flavia Squeglia · 1×
Citations per year

Countries citing papers authored by Keya Sau

Since Specialization
Citations

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

Fields of papers citing papers by Keya Sau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002248
2 2003169
3 1997109
4 201054
5 200642
6 199341
7 200536
8 200724
9 200920
10 199320
11 200819
12 200918
13 201217
14 200516
15 200716
16 200914
17 201013
18 200413
19 200513
20 201512

About Keya Sau

Keya Sau is a scholar working on Molecular Biology, Ecology, Genetics, Infectious Diseases and Immunology, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (28 papers), RNA and protein synthesis mechanisms (24 papers), Bacterial Genetics and Biotechnology (16 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Genomics and Phylogenetic Studies (9 papers), Toxin Mechanisms and Immunotoxins (6 papers), Biochemical and Structural Characterization (5 papers) and Mycobacterium research and diagnosis (5 papers). The work is most often cited by research in Infectious Diseases (432 citations), Microbiology (96 citations), Ecology (259 citations), Immunology (199 citations) and Endocrinology (44 citations). Keya Sau has collaborated with scholars based in India and United States. Frequent co-authors include Stuart M. Levitz, Douglas T. Golenbock, Philipp Henneke, Salamatu S. Mambula, Ji-Quan Sun, Chia‐Yin Lee, Subrata Sau, Eicke Latz, Palas K. Chanda and S. K. GUPTA. Their work appears in journals such as BMB Reports, Journal of Biomolecular Structure and Dynamics, PLoS ONE, Journal of Basic Microbiology and Journal of Biological Chemistry.

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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