Bharat Madan

666 total citations
25 papers, 170 citations indexed

About

Bharat Madan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Bharat Madan has authored 25 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Bharat Madan's work include Protein Structure and Dynamics (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Bharat Madan is often cited by papers focused on Protein Structure and Dynamics (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Bharat Madan collaborates with scholars based in South Korea, United States and United Kingdom. Bharat Madan's co-authors include Sun‐Gu Lee, Govindan Raghunathan, Sriram Sokalingam, Nagasundarapandian Soundrarajan, Brandon J. DeKosky, Sanjay K. S. Patel, Sanjeet Mehariya, Jung-Kul Lee, Ahmed S. Fahad and Jung Rim Haw and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Proteins Structure Function and Bioinformatics.

In The Last Decade

Bharat Madan

20 papers receiving 170 citations

Peers

Bharat Madan

IMMUN

BIOTE

Inyoung Kim South Korea

Filbert Totsingan United States

Marc Guéroult France

Jasmina Hadžiabdić Bosnia and Herzegovina

Weilin Chi China

Yuedong Zhang China

Elahe Soltani Fard Iran

Ognjenka Rahić Bosnia and Herzegovina

Karl Peebo Estonia

Jae Jung Lee South Korea

Inyoung Kim South Korea

Bharat Madan

144 ×1.1

55 ×1.6

5 ×0.2

8 ×0.5

IMMUN

11 ×0.7

BIOTE

Citations per year, relative to Bharat Madan Bharat Madan (= 1×) peers Inyoung Kim

Countries citing papers authored by Bharat Madan

Since Specialization

Citations

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

Fields of papers citing papers by Bharat Madan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bharat Madan

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

Fahad, Ahmed S., Matías Gutiérrez-González, Bharat Madan, & Brandon J. DeKosky. (2024). Antibody Data Analysis from Diverse Immune Libraries. Cold Spring Harbor Protocols. 2025(1). pdb.prot108627–pdb.prot108627.

Fahad, Ahmed S., Matías Gutiérrez-González, Bharat Madan, & Brandon J. DeKosky. (2024). Clonal Variant Analysis of Antibody Engineering Libraries. Cold Spring Harbor Protocols. 2025(1). pdb.prot108626–pdb.prot108626.

Fahad, Ahmed S., Matías Gutiérrez-González, Bharat Madan, & Brandon J. DeKosky. (2024). Clonal Lineage and Gene Diversity Analysis of Paired Antibody Heavy and Light Chains. Cold Spring Harbor Protocols. 2025(1). pdb.prot108628–pdb.prot108628.

Pan, Xiaoli, et al.. (2024). Optimized single-cell gates for yeast display screening. Protein Engineering Design and Selection. 38.

Fahad, Ahmed S., Sheila N. López Acevedo, Bharat Madan, et al.. (2023). Cell activation-based screening of natively paired human T cell receptor repertoires. Scientific Reports. 13(1). 8011–8011. 5 indexed citations

Fahad, Ahmed S., Bharat Madan, & Brandon J. DeKosky. (2022). Bioinformatic Analysis of Natively Paired VH:VL Antibody Repertoires for Antibody Discovery. Methods in molecular biology. 2552. 447–463. 3 indexed citations

Madan, Bharat, I‐Ting Teng, Aric Huang, et al.. (2022). Mapping monoclonal anti-SARS-CoV-2 antibody repertoires against diverse coronavirus antigens. Frontiers in Immunology. 13. 977064–977064. 3 indexed citations

Huang, Aric, Wei Jun Jin, Ahmed S. Fahad, et al.. (2022). Strategies to Screen Anti-AQP4 Antibodies from Yeast Surface Display Libraries. Antibodies. 11(2). 39–39. 1 indexed citations

Fahad, Ahmed S., Sheila N. López Acevedo, Bharat Madan, et al.. (2021). Immortalization and functional screening of natively paired human T cell receptor repertoires. Protein Engineering Design and Selection. 35. 5 indexed citations

10.

Jin, Wei Jun, Bharat Madan, Ahmed S. Fahad, et al.. (2020). The covalent SNAP tag for protein display quantification and low-pH protein engineering. Journal of Biotechnology. 320. 50–56. 2 indexed citations

11.

Acevedo, Sheila N. López, et al.. (2019). Ultrasonically-guided flow focusing generates precise emulsion droplets for high-throughput single cell analyses. Journal of Bioscience and Bioengineering. 128(2). 226–233. 9 indexed citations

12.

Madan, Bharat & Sun‐Gu Lee. (2018). Sequence and Structural Features of Subsite Residues in GH10 and GH11 Xylanases. Biotechnology and Bioprocess Engineering. 23(3). 311–318. 9 indexed citations

13.

Madan, Bharat, et al.. (2017). Measuring the Conformational Distance of GPCR-related Proteins Using a Joint-based Descriptor. Scientific Reports. 7(1). 15205–15205. 1 indexed citations

14.

Madan, Bharat, Joanna M. Kasprzak, Irina Tuszyńska, et al.. (2016). Modeling of Protein–RNA Complex Structures Using Computational Docking Methods. Methods in molecular biology. 1414. 353–372. 8 indexed citations

15.

Patel, Sanjay K. S., Jaehoon Jeong, Sanjeet Mehariya, et al.. (2016). Production of Methanol from Methane by Encapsulated Methylosinus sporium. Journal of Microbiology and Biotechnology. 26(12). 2098–2105. 37 indexed citations

16.

Goyal, Amit, et al.. (2015). Identification of Novel Cupredoxin Homologs Using Overlapped Conserved Residues Based Approach. Journal of Microbiology and Biotechnology. 25(1). 127–136. 7 indexed citations

17.

Madan, Bharat, Sriram Sokalingam, Govindan Raghunathan, & Sun‐Gu Lee. (2014). Redesigning the type II' β-turn in green fluorescent protein to type I': Implications for folding kinetics and stability. Proteins Structure Function and Bioinformatics. 82(10). 2812–2822. 3 indexed citations

18.

Raghunathan, Govindan, et al.. (2013). Modulation of protein stability and aggregation properties by surface charge engineering. Molecular BioSystems. 9(9). 2379–2389. 28 indexed citations

19.

Sokalingam, Sriram, Bharat Madan, Govindan Raghunathan, & Sun‐Gu Lee. (2013). In silico study on the effect of surface lysines and arginines on the electrostatic interactions and protein stability. Biotechnology and Bioprocess Engineering. 18(1). 18–26. 18 indexed citations

20.

Raghunathan, Govindan, et al.. (2013). A comparative study on the stability and structure of two different green fluorescent proteins in organic co-solvent systems. Biotechnology and Bioprocess Engineering. 18(2). 342–349. 8 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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