Digant Nayak

1.0k total citations · 1 hit paper
16 papers, 625 citations indexed

About

Digant Nayak is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Digant Nayak has authored 16 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Infectious Diseases. Recurrent topics in Digant Nayak's work include Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (3 papers) and interferon and immune responses (2 papers). Digant Nayak is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (3 papers) and interferon and immune responses (2 papers). Digant Nayak collaborates with scholars based in United States, Singapore and Poland. Digant Nayak's co-authors include Shaun K. Olsen, Zongyang Lv, Mikołaj Żmudziński, Wioletta Rut, Marcin Drąg, Farid El Oualid, Scott J. Snipas, Stephanie Patchett, Miklós Békés and Tony T. Huang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Digant Nayak

15 papers receiving 617 citations

Hit Papers

Activity profiling and crystal structures of inhibitor-bo... 2020 2026 2022 2024 2020 100 200 300

Peers

Digant Nayak
Comparison fields: 5 of 74
  • Molecular Biology 342
  • Infectious Diseases 247
  • Computational Theory and Mathematics 183
  • Immunology 103
  • Oncology 59
Replace Md. Zubbair Malik with:
Md. Zubbair Malik India
Samantha Mackin United States
Joseph T. Ortega United States
Seo Jung Hong United States
Sven O. Dahms Germany
Yiping Zhu China
Sajjan Rajpoot India
Fraser Cunningham United Kingdom
Cláudia Barbosa Ladeira de Campos Brazil
Vanesa Nozal Spain
Md. Zubbair Malik India View profile →
Citations per field, relative to Digant Nayak
Digant Nayak · 1×
Citations per year, relative to Digant Nayak
Digant Nayak · 1×

Countries citing papers authored by Digant Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Digant Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Digant Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Digant Nayak. A scholar is included among the top collaborators of Digant Nayak 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 Digant Nayak. Digant Nayak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 0
3 23
4 25
5 9
6 9
7 1
8 12
9 2
10
Activity profiling and crystal structures of inhibitor-bound SARS-CoV-2 papain-like protease: A framework for anti–COVID-19 drug design breakdown →
353
11 13
12 12
13 6
14 16
15 10
16 133

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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2026