Shaheynoor Talukder

4.6k citations
11 papers · 3.0k indexed · 1 hit paper · h-index 10
    • RNA Research and Splicing 6
    • Genomics and Chromatin Dynamics 6
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 1
    • Machine Learning in Bioinformatics 1
    • Pluripotent Stem Cells Research 1
    • Glycosylation and Glycoproteins Research 1
  • Aging top 5%
  • Genetics top 10%
    • Genetic Mapping and Diversity in Plants and Animals 1

Shaheynoor Talukder

11 papers receiving 3.0k citations

Hit Papers

Diversity and Complexity in DNA Recognition by Transcript...7612009202620142020250500750

Peers

Shaheynoor Talukder
Comparison fields: 5 of 103
  • Molecular Biology 2.7k
  • Aging 41
  • Cancer Research 276
  • Genetics 330
  • Immunology 167
Replace Gwenaël Badis with:
Gwenaël Badis France
Leah O. Barrera United States
Mihai Albu Canada
Sylvain Daujat France
Alicia V. Zamudio United States
Søren Lykke‐Andersen Denmark
Jian Yan China
Yoshiaki Ohkuma Japan
Laura F. Campitelli Canada
Valerio Orlando Italy
Shaheynoor Talukder relative to Gwenaël Badis France Gwenaël Badis's profile →
Citations per field
00.5×1.5×
Gwenaël Badis · 1×
Citations per year

Countries citing papers authored by Shaheynoor Talukder

Since Specialization
Citations

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

Fields of papers citing papers by Shaheynoor Talukder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 2013264
2 201116
3 2011277
4 20102
5 2010433
6 2010323
7
Diversity and Complexity in DNA Recognition by Transcription Factorsbreakdown →
2009761
8 2009364
9 2008487
10 200827
11 200824

About Shaheynoor Talukder

Shaheynoor Talukder is a scholar working on Immunology and Allergy, Molecular Biology and Genetics, having authored 11 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (6 papers), RNA and protein synthesis mechanisms (5 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), RNA modifications and cancer (1 paper), Machine Learning in Bioinformatics (1 paper), Pluripotent Stem Cells Research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Biology (2.7k citations), Aging (41 citations) and Cancer Research (276 citations). Shaheynoor Talukder has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Timothy R. Hughes, Quaid Morris, Martha L. Bulyk, Esther T. Chan, Gwenaël Badis, Andrew R. Gehrke, Anthony Philippakis, Daniel E. Newburger, Savina Jaeger and Lourdes Peña‐Castillo. Their work appears in journals such as Science, Cell and Nucleic Acids Research.

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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