Amita Pathak

19 total papers · 533 total citations
13 papers, 397 citations indexed

About

Amita Pathak is a scholar working on Molecular Biology, Molecular Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Amita Pathak has authored 13 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Molecular Medicine and 5 papers in Computational Theory and Mathematics. Recurrent topics in Amita Pathak's work include Antibiotic Resistance in Bacteria (6 papers), Computational Drug Discovery Methods (5 papers) and Protein Structure and Dynamics (5 papers). Amita Pathak is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Computational Drug Discovery Methods (5 papers) and Protein Structure and Dynamics (5 papers). Amita Pathak collaborates with scholars based in India. Amita Pathak's co-authors include Gizachew Muluneh Amera, Rameez Jabeer Khan, Amit Kumar Singh, Jayaraman Muthukumaran, Rajat Kumar Jha, Monika Jain, Ekampreet Singh, Rashmi Prabha Singh, B. Jayaram and Pradeep Pant and has published in prestigious journals such as The Journal of Physical Chemistry B, Proteins Structure Function and Bioinformatics and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

In The Last Decade

Amita Pathak

13 papers receiving 391 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amita Pathak 210 165 160 64 35 13 397
Gizachew Muluneh Amera 250 1.2× 163 1.0× 200 1.3× 79 1.2× 38 1.1× 11 445
Rajat Kumar Jha 256 1.2× 157 1.0× 205 1.3× 84 1.3× 39 1.1× 16 443
Tebelay Dilnessa 163 0.8× 112 0.7× 229 1.4× 57 0.9× 19 0.5× 17 428
Priyashi Rao 146 0.7× 184 1.1× 96 0.6× 59 0.9× 34 1.0× 24 415
Ekampreet Singh 233 1.1× 136 0.8× 196 1.2× 78 1.2× 40 1.1× 15 401
Sathishkumar Chinnasamy 147 0.7× 205 1.2× 117 0.7× 57 0.9× 24 0.7× 18 397
Iqra Muneer 164 0.8× 223 1.4× 129 0.8× 54 0.8× 31 0.9× 7 393
Sona Lyndem 173 0.8× 139 0.8× 98 0.6× 61 1.0× 58 1.7× 14 401
Mitul Srivastava 224 1.1× 193 1.2× 154 1.0× 62 1.0× 14 0.4× 25 425
Mohammad Mahfuz Ali Khan Shawan 61 0.3× 141 0.9× 68 0.4× 36 0.6× 26 0.7× 19 344

Countries citing papers authored by Amita Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Amita Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amita Pathak

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

All Works

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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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