Abhinav Shukla

2.7k total citations · 1 hit paper
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, Duncan Low, Brian Hubbard, Sam Guhan, Tim Tressel, 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

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Downstream processing of monoclonal antibodies—Application of platform approaches

2007 659 citations Abhinav Shukla, Brian Hubbard et al. Journal of Chromatography B profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Abhinav Shukla United States	13	1.6k	982	381	115	104	21	1.9k
Jon Coffman United States	21	1.2k 0.7×	497 0.5×	464 1.2×	178 1.5×	39 0.4×	43	1.4k
Hervé Broly Switzerland	31	1.9k 1.2×	735 0.7×	500 1.3×	65 0.6×	150 1.4×	68	2.2k
Mike Hoare United Kingdom	21	1.0k 0.6×	236 0.2×	511 1.3×	62 0.5×	103 1.0×	67	1.5k
Sadettin S. Ozturk United States	22	1.2k 0.7×	253 0.3×	605 1.6×	57 0.5×	91 0.9×	35	1.9k
Jan Kubíček Czechia	17	662 0.4×	236 0.2×	207 0.5×	79 0.7×	63 0.6×	96	1.2k
David Ouellette Canada	15	575 0.4×	311 0.3×	125 0.3×	38 0.3×	73 0.7×	30	1.1k
Weichang Zhou China	22	1.3k 0.8×	262 0.3×	457 1.2×	32 0.3×	169 1.6×	58	1.6k
Jonathan Souquet Switzerland	19	925 0.6×	282 0.3×	258 0.7×	40 0.3×	74 0.7×	37	999
Steven M. Cramer United States	32	2.5k 1.6×	1.3k 1.3×	636 1.7×	1.2k 10.0×	77 0.7×	126	3.1k
Ashraf Amanullah United States	16	1.4k 0.9×	508 0.5×	467 1.2×	44 0.4×	143 1.4×	19	1.6k

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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20 of 20 papers shown

Shukla, Abhinav, et al.. (2025). A Data-Driven Framework Based on Machine Learning Approaches for Restructuring Computer Science Courses. International Journal of Environmental Sciences. 11(8s). 736–742.

Lai, Anne Y., Chunyan Wang, Dana C. Baiu, et al.. (2024). Abstract 6722: A CD33 antigen targeted Gamma Delta T-cell engager in combination with zoledronate promotes Vg9Vd2+ T cell proliferation and cytotoxicity against acute myeloid leukemia. Cancer Research. 84(6_Supplement). 6722–6722. 1 indexed citations

Shukla, Abhinav, Saurabh Bhardwaj, & Mandeep Singh. (2023). Segmentation for Lumbar Spinal Stenosis Using Convolutional Neural Networks. Procedia Computer Science. 218. 2210–2223. 5 indexed citations

Shukla, Abhinav, et al.. (2021). Additive Manufacturing-A Review. Materials Today Proceedings. 47. 6896–6901. 99 indexed citations

Shukla, Abhinav, et al.. (2017). High-Throughput Process Development for Biopharmaceuticals. Advances in biochemical engineering, biotechnology. 165. 401–441. 8 indexed citations

Shukla, Abhinav, et al.. (2017). Evolving trends in mAb production processes. Bioengineering & Translational Medicine. 2(1). 58–69. 177 indexed citations

Shukla, Abhinav & Hazel Aranha. (2015). Viral clearance for biopharmaceutical downstream processes. Zenodo (CERN European Organization for Nuclear Research). 3(2). 127–138. 38 indexed citations

Wolfe, Leslie S., et al.. (2014). Multimodal chromatography: Characterization of protein binding and selectivity enhancement through mobile phase modulators. Journal of Chromatography A. 1340. 151–156. 46 indexed citations

Rameez, Shahid, et al.. (2014). High‐throughput miniaturized bioreactors for cell culture process development: Reproducibility, scalability, and control. Biotechnology Progress. 30(3). 718–727. 84 indexed citations

10.

Liu, Zhuo, Sigma S. Mostafa, & Abhinav Shukla. (2014). A comparison of Protein A chromatographic stationary phases: Performance characteristics for monoclonal antibody purification. Biotechnology and Applied Biochemistry. 62(1). 37–47. 30 indexed citations

11.

Gottschalk, Uwe, Kurt Brorson, & Abhinav Shukla. (2013). Innovation in biomanufacturing: the only way forward. 1(2). 141–157. 12 indexed citations

12.

Shukla, Abhinav & Uwe Gottschalk. (2012). Single-use disposable technologies for biopharmaceutical manufacturing. Trends in biotechnology. 31(3). 147–154. 164 indexed citations

13.

Jiang, Canping, et al.. (2011). Demonstrating β‐glucan and yeast peptide clearance in biopharmaceutical downstream processes. Biotechnology Progress. 27(2). 442–450. 7 indexed citations

14.

Abu-Absi, Susan, Liying Yang, Patrick Thompson, et al.. (2010). Defining process design space for monoclonal antibody cell culture. Biotechnology and Bioengineering. 106(6). 894–905. 90 indexed citations

15.

Shukla, Abhinav & Jörg Thömmes. (2010). Recent advances in large-scale production of monoclonal antibodies and related proteins. Trends in biotechnology. 28(5). 253–261. 411 indexed citations

16.

Jin, Mi Sun, et al.. (2009). Design of a filter train for precipitate removal in monoclonal antibody downstream processing. Biotechnology and Applied Biochemistry. 54(3). 149–155. 17 indexed citations

17.

Shukla, Abhinav, et al.. (2008). Harvest and Recovery of Monoclonal Antibodies from Large-Scale Mammalian Cell Culture. 21(5). 12 indexed citations

18.

Shukla, Abhinav, Brian Hubbard, Tim Tressel, Sam Guhan, & Duncan Low. (2007). Downstream processing of monoclonal antibodies—Application of platform approaches. Journal of Chromatography B. 848(1). 28–39. 659 indexed citations breakdown →

19.

Shukla, Abhinav, et al.. (2001). Process characterization for metal‐affinity chromatography of an Fc fusion protein: a design‐of‐experiments approach. Biotechnology and Applied Biochemistry. 34(2). 71–80. 18 indexed citations

20.

Shukla, Abhinav, et al.. (1998). Structural characteristics of low-molecular-mass displacers for cation-exchange chromatography. Journal of Chromatography A. 814(1-2). 83–95. 24 indexed citations

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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