Rahul Bhambure

1.3k total citations
25 papers, 952 citations indexed

About

Rahul Bhambure is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Rahul Bhambure has authored 25 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Rahul Bhambure's work include Protein purification and stability (18 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (10 papers). Rahul Bhambure is often cited by papers focused on Protein purification and stability (18 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (10 papers). Rahul Bhambure collaborates with scholars based in India, Germany and United States. Rahul Bhambure's co-authors include Anurag S. Rathore, Rekha S. Singhal, Mahesh V. Bule, Sudheer Kumar Singh, George Szakács, Ashok Pandey, Christopher Gillespie, Abraham M. Lenhoff, Michael Phillips and Vivek V. Ranade and has published in prestigious journals such as Journal of Chromatography A, Trends in biotechnology and Industrial & Engineering Chemistry Research.

In The Last Decade

Rahul Bhambure

25 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Bhambure India 13 508 357 338 178 89 25 952
Cyrus Agarabi United States 18 727 1.4× 139 0.4× 153 0.5× 276 1.6× 97 1.1× 50 1.1k
Reinhard Ditz Germany 12 490 1.0× 214 0.6× 51 0.2× 152 0.9× 55 0.6× 28 682
Shan‐Jing Yao China 19 652 1.3× 267 0.7× 81 0.2× 270 1.5× 65 0.7× 69 1.0k
Arne Staby Denmark 23 914 1.8× 515 1.4× 86 0.3× 367 2.1× 102 1.1× 43 1.3k
Ken‐ichi Suga Japan 19 700 1.4× 251 0.7× 190 0.6× 112 0.6× 20 0.2× 65 1.3k
A. P. Ison United Kingdom 21 569 1.1× 310 0.9× 86 0.3× 91 0.5× 23 0.3× 38 982
Letha Chemmalil United States 10 347 0.7× 115 0.3× 30 0.1× 124 0.7× 46 0.5× 16 487
Stefan A. Oelmeier Germany 14 360 0.7× 119 0.3× 141 0.4× 119 0.7× 43 0.5× 26 614
Patrick L. Heider United States 12 374 0.7× 835 2.3× 314 0.9× 41 0.2× 32 0.4× 14 1.3k
Noriko Yoshimoto Japan 18 541 1.1× 167 0.5× 98 0.3× 113 0.6× 33 0.4× 59 823

Countries citing papers authored by Rahul Bhambure

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Bhambure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Bhambure

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

All Works

20 of 20 papers shown
2.
Bhambure, Rahul, et al.. (2024). Understanding in-vivo refolding of antibody fragments (Fab): Biosimilar Ranibizumab a case study. Process Biochemistry. 146. 484–497. 1 indexed citations
3.
Bhambure, Rahul, et al.. (2023). Cloning and expression of antibody fragment (Fab) II: Effect of expression hosts on light and heavy chain gene expression. Biochemical Engineering Journal. 200. 109094–109094. 1 indexed citations
4.
Rana, Sunil, et al.. (2023). Chromatography assisted in-vitro refolding and purification of recombinant peptibody: Recombinant Romiplostim a case study. International Journal of Biological Macromolecules. 249. 126037–126037. 2 indexed citations
6.
Khan, Wajihul Hasan, et al.. (2022). Dimerization of SARS-CoV-2 nucleocapsid protein affects sensitivity of ELISA based diagnostics of COVID-19. International Journal of Biological Macromolecules. 200. 428–437. 18 indexed citations
7.
Thulasiram, Hirekodathakallu V., et al.. (2022). Understanding unfolding and refolding of the antibody fragment (Fab) III: Mapping covalent and non-covalent interactions during in-vitro refolding of light chain, heavy chain, and Fab.. Biochemical Engineering Journal. 187. 108644–108644. 1 indexed citations
8.
Bhambure, Rahul, et al.. (2021). Cloning and expression of antibody fragment (Fab) I: Effect of expression construct and induction strategies on light and heavy chain gene expression. Biochemical Engineering Journal. 176. 108189–108189. 12 indexed citations
9.
Rathore, Anurag S., et al.. (2020). Engineering Staphylococcal Protein A for high-throughput affinity purification of monoclonal antibodies. Biotechnology Advances. 44. 107632–107632. 25 indexed citations
10.
Ranade, Vivek V., et al.. (2018). Real-Time Monitoring of Biopharmaceutical Crystallization: Chord Length Distribution to Crystal Size Distribution for Lysozyme, rHu Insulin, and Vitamin B12. Industrial & Engineering Chemistry Research. 58(18). 7607–7619. 14 indexed citations
11.
Bhambure, Rahul, et al.. (2017). Ionic strength-dependent changes in tentacular ion exchangers with variable ligand density. II. Functional properties. Journal of Chromatography A. 1506. 55–64. 18 indexed citations
12.
Bhambure, Rahul, et al.. (2016). Ionic strength-dependent changes in tentacular ion exchangers with variable ligand density. I. Structural properties. Journal of Chromatography A. 1463. 90–101. 22 indexed citations
13.
Rathore, Anurag S. & Rahul Bhambure. (2014). Establishing analytical comparability for “biosimilars”: filgrastim as a case study. Analytical and Bioanalytical Chemistry. 406(26). 6569–6576. 16 indexed citations
14.
Rathore, Anurag S. & Rahul Bhambure. (2014). Aqueous Two-Phase-Assisted Precipitation of Proteins: A Platform for Isolation of Process-Related Impurities from Therapeutic Proteins. Methods in molecular biology. 1129. 101–110. 1 indexed citations
16.
Bhambure, Rahul, et al.. (2013). A novel multimodal chromatography based single step purification process for efficient manufacturing of an E. coli based biotherapeutic protein product. Journal of Chromatography A. 1314. 188–198. 32 indexed citations
18.
Bhambure, Rahul, et al.. (2011). High-throughput process development for biopharmaceutical drug substances. Trends in biotechnology. 29(3). 127–135. 123 indexed citations
19.
Rathore, Anurag S., et al.. (2010). Process analytical technology (PAT) for biopharmaceutical products. Analytical and Bioanalytical Chemistry. 398(1). 137–154. 261 indexed citations
20.
Bule, Mahesh V., Rahul Bhambure, Rekha S. Singhal, et al.. (2009). Biosynthesis of silver nanoparticles using aqueous extract from the compactin producing fungal strain. Process Biochemistry. 44(8). 939–943. 235 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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