Farhat Habib

461 citations
16 papers · 326 · h-index 12

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • Developmental Biology and Gene Regulation 2
    • RNA Research and Splicing 2

Farhat Habib

16 papers receiving 322 citations

Peers

Farhat Habib
Comparison fields: 5 of 69
  • Ecological Modeling 15
  • Infectious Diseases 53
  • Aging 5
  • Agronomy and Crop Science 29
  • Epidemiology 72
Replace David E. Alquezar‐Planas with:
David E. Alquezar‐Planas Australia
Álvaro Sebastián Poland
Yinü Li China
Emily Kaufman United States
Tomoko Mihara Japan
Xiao‐Tian Tang United States
Eva Fritsch Germany
Zuzana Zubáčová Czechia
Ben J. Ward United Kingdom
Emmanuel Dialynas Greece
Farhat Habib relative to David E. Alquezar‐Planas Australia David E. Alquezar‐Planas's profile →
Citations per field
00.5×2.5×
David E. Alquezar‐Planas · 1×
Citations per year

Countries citing papers authored by Farhat Habib

Since Specialization
Citations

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

Fields of papers citing papers by Farhat Habib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200752
2 200846
3 200829
4 201128
5 201627
6 201623
7 201321
8 201020
9 200718
10 202016
11 201914
12 201514
13 20197
14 20235
15 20173
16 20053

About Farhat Habib

Farhat Habib is a scholar working on Molecular Biology, Genetics, Ecology, Epidemiology and Infectious Diseases, having authored 16 papers that have together received 326 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Influenza Virus Research Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Zoonotic diseases and public health (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Developmental Biology and Gene Regulation (2 papers), RNA Research and Splicing (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Ecological Modeling (15 citations), Infectious Diseases (53 citations), Aging (5 citations), Agronomy and Crop Science (29 citations) and Epidemiology (72 citations). Farhat Habib has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Daniel Janies, Robert Guralnick, Andrew W. Hill, L. S. Shashidhara, Ward C. Wheeler, Eric Waltari, Meredith Wilson, Ramesh Yelagandula, Andrew Hill and Diego Pol. Their work appears in journals such as Scientific Reports, Cladistics, Journal of Experimental Botany, Journal of Biosciences and Genetics.

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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