Abhinav Shukla

43 total papers · 2.7k total citations
21 papers, 1.9k citations indexed

About

Abhinav Shukla is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Abhinav Shukla has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biomedical Engineering. Recurrent topics in Abhinav Shukla's work include Protein purification and stability (16 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Abhinav Shukla is often cited by papers focused on Protein purification and stability (16 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Abhinav Shukla collaborates with scholars based in United States, Germany and India. Abhinav Shukla's co-authors include Jörg Thömmes, Sam Guhan, Duncan Low, Tim Tressel, Brian Hubbard, Sigma S. Mostafa, Uwe Gottschalk, Leslie S. Wolfe, Shahid Rameez and Hazel Aranha and has published in prestigious journals such as Cancer Research, Journal of Chromatography A and Trends in biotechnology.

In The Last Decade

Abhinav Shukla

20 papers receiving 1.8k citations

Hit Papers

Downstream processing of ... 2007 2026 2013 2019 2007 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Abhinav Shukla 1.6k 979 378 115 104 21 1.9k
Chung C. Hsu 1.6k 1.0× 392 0.4× 381 1.0× 106 0.9× 162 1.6× 38 2.9k
Shawn C. Owen 943 0.6× 399 0.4× 877 2.3× 55 0.5× 36 0.3× 43 3.0k
Kevin R. King 1.8k 1.1× 628 0.6× 1.0k 2.7× 83 0.7× 58 0.6× 60 3.2k
Cleo Kontoravdi 2.1k 1.3× 615 0.6× 404 1.1× 53 0.5× 144 1.4× 111 2.7k
Anna Mero 1.3k 0.8× 405 0.4× 409 1.1× 67 0.6× 177 1.7× 34 2.8k
Hervé Broly 1.9k 1.2× 731 0.7× 491 1.3× 65 0.6× 150 1.4× 68 2.2k
Sadettin S. Ozturk 1.2k 0.7× 250 0.3× 601 1.6× 57 0.5× 91 0.9× 35 1.9k
Tillman U. Gerngross 2.3k 1.4× 474 0.5× 926 2.4× 43 0.4× 638 6.1× 35 3.2k
Ye Sun 1.1k 0.7× 184 0.2× 515 1.4× 49 0.4× 53 0.5× 74 2.5k
M. Hoare 1.3k 0.8× 311 0.3× 625 1.7× 105 0.9× 293 2.8× 75 2.0k

Countries citing papers authored by Abhinav Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Shukla. A scholar is included among the top collaborators of Abhinav Shukla 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 Abhinav Shukla. Abhinav Shukla 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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