Nawsad Alam

1.8k citations
16 papers · 584 · h-index 11

Impact in

Papers in

    • Protein Structure and Dynamics 4
    • RNA and protein synthesis mechanisms 4
    • Protein Degradation and Inhibitors 2
    • Peptidase Inhibition and Analysis 6

Nawsad Alam

15 papers receiving 578 citations

Peers

Nawsad Alam
Comparison fields: 5 of 73
  • Computational Theory and Mathematics 161
  • Molecular Biology 490
  • Microbiology 33
  • Radiology, Nuclear Medicine and Imaging 64
  • Oncology 71
Replace Jorge Roel‐Touris with:
Jorge Roel‐Touris Netherlands
Milon Mondal Netherlands
Guy Nimrod Israel
Nyssa Drinkwater Australia
Zongyang Du China
Natalia Matassova United Kingdom
Yuichiro Hourai Japan
Rajiv Gandhi Govindaraj South Korea
Michael Schantz Klausen Denmark
Tracy L. Hutchison United States
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Citations per field
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Citations per year

Countries citing papers authored by Nawsad Alam

Since Specialization
Citations

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

Fields of papers citing papers by Nawsad Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018201
2 2017115
3 201797
4 201641
5 201727
6 201620
7 201818
8 201614
9 201912
10 202311
11 201710
12 20208
13 20244
14 20243
15 20203
16 20250

About Nawsad Alam

Nawsad Alam is a scholar working on Molecular Biology, Oncology, Immunology, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 584 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Protein Degradation and Inhibitors (2 papers), Complement system in diseases (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Computational Theory and Mathematics (161 citations), Molecular Biology (490 citations), Microbiology (33 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Oncology (71 citations). Nawsad Alam has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ora Schueler‐Furman, Dima Kozakov, Kathryn A. Porter, Sebastian Kmiecik, Andrzej Koliński, Mateusz Kurciński, Maciej Paweł Ciemny, Bing Xia, Bing Xia and Dmitri Beglov. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nature Reviews Microbiology, Frontiers in Cellular and Infection Microbiology, The EMBO Journal and PLoS Computational Biology.

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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