Zulkar Nain

1.3k citations
30 papers · 928 · h-index 18

Impact in

Papers in

    • vaccines and immunoinformatics approaches 8
    • Bacterial biofilms and quorum sensing 5
    • SARS-CoV-2 and COVID-19 Research 5
    • Viral Infections and Outbreaks Research 3
    • COVID-19 Clinical Research Studies 3

Zulkar Nain

30 papers receiving 918 citations

Peers

Zulkar Nain
Comparison fields: 5 of 96
  • Infectious Diseases 232
  • Molecular Biology 565
  • Biotechnology 58
  • Radiology, Nuclear Medicine and Imaging 138
  • Computational Theory and Mathematics 103
Replace Jennifer Geddes‐McAlister with:
Jennifer Geddes‐McAlister Canada
Aarti Garg India
Miguel Á. Chávez‐Fumagalli Brazil
Oluwatoyin A. Asojo United States
Sanjay Menon United States
Meenu Sharma India
Lalitha Guruprasad India
Asifullah Khan Pakistan
Laxman S. Meena India
Chia-I Liu Taiwan
Zulkar Nain relative to Jennifer Geddes‐McAlister Canada Jennifer Geddes‐McAlister's profile →
Citations per field
00.5×4.6×
Jennifer Geddes‐McAlister · 1×
Citations per year

Countries citing papers authored by Zulkar Nain

Since Specialization
Citations

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

Fields of papers citing papers by Zulkar Nain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020140
2 201992
3 202066
4 202163
5 202063
6 201851
7 202046
8 202144
9 202043
10 202035
11 202035
12 202231
13 201926
14 202021
15 202120
16 202120
17 202117
18 202017
19 202017
20 202314

About Zulkar Nain

Zulkar Nain is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Molecular Medicine and Organic Chemistry, having authored 30 papers that have together received 928 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Bacterial biofilms and quorum sensing (5 papers), Computational Drug Discovery Methods (4 papers), Antibiotic Resistance in Bacteria (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infections and Outbreaks Research (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (232 citations), Molecular Biology (565 citations), Biotechnology (58 citations), Radiology, Nuclear Medicine and Imaging (138 citations) and Computational Theory and Mathematics (103 citations). Zulkar Nain has collaborated with scholars based in Bangladesh, Australia and United States. Frequent co-authors include Utpal Kumar Adhikari, Mohammad Minnatul Karim, Abdus Samad, Md. Shahedur Rahman, Foysal Ahammad, Faruq Abdulla, Rahat Alam, Raihan Rahman Imon, Monokesh K. Sen and Shafi Mahmud. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Briefings in Bioinformatics, BMC Medicine, International Journal of Environmental Research and Public Health and Journal of Biosciences.

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.

Explore authors with similar magnitude of impact