Nahid Akhtar

4.5k total citations · 1 hit paper
87 papers, 3.2k citations indexed

About

Nahid Akhtar is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Nahid Akhtar has authored 87 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 14 papers in Plant Science and 10 papers in Infectious Diseases. Recurrent topics in Nahid Akhtar's work include vaccines and immunoinformatics approaches (13 papers), Osteoarthritis Treatment and Mechanisms (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Nahid Akhtar is often cited by papers focused on vaccines and immunoinformatics approaches (13 papers), Osteoarthritis Treatment and Mechanisms (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Nahid Akhtar collaborates with scholars based in India, United States and Saudi Arabia. Nahid Akhtar's co-authors include Tariq M. Haqqi, Zafar Rasheed, Atif Khurshid Wani, M. Amin‐ul Mannan, Arivarasu Natarajan Anbazhagan, Frank R. Voss, Jeena Gupta, Salahuddin Ahmed, Rashmi Singh and Vikas Kaushik and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Nahid Akhtar

82 papers receiving 3.1k citations

Hit Papers

Microbial adaptation to different environmental condition... 2022 2026 2023 2024 2022 40 80 120

Peers

Nahid Akhtar
Comparison fields: 5 of 161
  • Molecular Biology 1.3k
  • Rheumatology 667
  • Cancer Research 520
  • Plant Science 393
  • Pharmacology 372
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Citations per field, relative to Nahid Akhtar
Nahid Akhtar · 1×
Citations per year, relative to Nahid Akhtar
Nahid Akhtar · 1×

Countries citing papers authored by Nahid Akhtar

Since Specialization
Citations

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

Fields of papers citing papers by Nahid Akhtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahid Akhtar

This figure shows the co-authorship network connecting the top 25 collaborators of Nahid Akhtar. A scholar is included among the top collaborators of Nahid Akhtar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nahid Akhtar. Nahid Akhtar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 9
3 2
4 0
5 6
6 8
7 1
8 8
9 18
10 20
11 36
12 30
13 84
14 33
15 32
16 19
17 26
18
Microbial adaptation to different environmental conditions: molecular perspective of evolved genetic and cellular systems breakdown →
143
19 49
20 1

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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