Mili Pathak

582 total citations
19 papers, 436 citations indexed

About

Mili Pathak is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Mili Pathak has authored 19 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Materials Chemistry. Recurrent topics in Mili Pathak's work include Protein purification and stability (17 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Mili Pathak is often cited by papers focused on Protein purification and stability (17 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Mili Pathak collaborates with scholars based in India, United Kingdom and United States. Mili Pathak's co-authors include Anurag S. Rathore, Abhishek K. Sharma, Harshit Agarwal, Subramanian Muthukumar, Daniel G. Bracewell, Varsha Joshi, Sudip K. Pattanayek, Arushi Arora, K.D.P. Nigam and C. Mark Smales and has published in prestigious journals such as Scientific Reports, Journal of Chromatography A and Chemical Engineering Science.

In The Last Decade

Mili Pathak

19 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mili Pathak India 13 359 138 90 30 28 19 436
Nikhil Kateja India 14 363 1.0× 130 0.9× 121 1.3× 33 1.1× 18 0.6× 16 433
E.K. Read India 4 272 0.8× 83 0.6× 57 0.6× 31 1.0× 25 0.9× 4 345
Kevin Brower United States 7 538 1.5× 188 1.4× 169 1.9× 30 1.0× 19 0.7× 11 594
Letha Chemmalil United States 10 347 1.0× 124 0.9× 115 1.3× 54 1.8× 30 1.1× 16 487
Sebastian Vogg Switzerland 12 408 1.1× 129 0.9× 149 1.7× 47 1.6× 16 0.6× 18 462
Nicole Ulmer Switzerland 8 262 0.7× 106 0.8× 85 0.9× 28 0.9× 12 0.4× 11 305
Astrid Dürauer Austria 14 446 1.2× 125 0.9× 167 1.9× 48 1.6× 49 1.8× 45 663
Jason Walther United States 7 600 1.7× 172 1.2× 219 2.4× 18 0.6× 19 0.7× 16 670
Canping Jiang United States 8 317 0.9× 156 1.1× 39 0.4× 19 0.6× 13 0.5× 10 379
Gregory A. Sacha United States 11 267 0.7× 59 0.4× 121 1.3× 31 1.0× 48 1.7× 15 457

Countries citing papers authored by Mili Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Mili Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mili Pathak

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

All Works

19 of 19 papers shown
1.
Pathak, Mili, et al.. (2019). Analytical tools for monitoring changes in physical and chemical properties of chromatography resin upon reuse. Electrophoresis. 40(23-24). 3074–3083. 5 indexed citations
2.
Pathak, Mili, et al.. (2018). Protein A chromatography resin lifetime—impact of feed composition. Biotechnology Progress. 34(2). 412–419. 15 indexed citations
3.
Pathak, Mili, et al.. (2018). Process development in the Quality by Design paradigm: Modeling of Protein A chromatography resin fouling. Journal of Chromatography A. 1570. 56–66. 14 indexed citations
4.
Pathak, Mili, et al.. (2017). Fluorescence based real time monitoring of fouling in process chromatography. Scientific Reports. 7(1). 45640–45640. 10 indexed citations
5.
Pathak, Mili & Anurag S. Rathore. (2017). Implementation of a fluorescence based PAT control for fouling of protein A chromatography resin. Journal of Chemical Technology & Biotechnology. 92(11). 2799–2807. 7 indexed citations
6.
Pathak, Mili, et al.. (2016). Residual on column host cell protein analysis during lifetime studies of protein A chromatography. Journal of Chromatography A. 1461. 70–77. 29 indexed citations
7.
Rathore, Anurag S., et al.. (2016). Monitoring Quality of Biotherapeutic Products Using Multivariate Data Analysis. The AAPS Journal. 18(4). 793–800. 7 indexed citations
8.
Pathak, Mili, Shruti Dixit, Subramanian Muthukumar, & Anurag S. Rathore. (2016). Analytical characterization of in vitro refolding in the quality by design paradigm: Refolding of recombinant human granulocyte colony stimulating factor. Journal of Pharmaceutical and Biomedical Analysis. 126. 124–131. 18 indexed citations
9.
Pathak, Mili & Anurag S. Rathore. (2016). Mechanistic understanding of fouling of protein A chromatography resin. Journal of Chromatography A. 1459. 78–88. 41 indexed citations
10.
11.
Rathore, Anurag S., Harshit Agarwal, Abhishek K. Sharma, Mili Pathak, & Subramanian Muthukumar. (2015). Continuous Processing for Production of Biopharmaceuticals. Preparative Biochemistry & Biotechnology. 45(8). 836–849. 92 indexed citations
12.
Rathore, Anurag S., Sumit Kumar Singh, Mili Pathak, et al.. (2015). Fermentanomics: Relating quality attributes of a monoclonal antibody to cell culture process variables and raw materials using multivariate data analysis. Biotechnology Progress. 31(6). 1586–1599. 25 indexed citations
13.
Rathore, Anurag S., et al.. (2015). Process development in the Q b D paradigm: Role of process integration in process optimization for production of biotherapeutics. Biotechnology Progress. 32(2). 355–362. 12 indexed citations
14.
Sharma, Abhishek K., Harshit Agarwal, Mili Pathak, K.D.P. Nigam, & Anurag S. Rathore. (2015). Continuous refolding of a biotech therapeutic in a novel Coiled Flow Inverter Reactor. Chemical Engineering Science. 140. 153–160. 41 indexed citations
15.
Pathak, Mili, Neha Chaudhary, & Anurag S. Rathore. (2014). Development of a low-cost, high-throughput native polyacrylamide gel electrophoresis (N-PAGE) protocol for lipoprotein sub-fractionation using Quality by Design approach. Journal of Pharmaceutical and Biomedical Analysis. 92. 119–126. 4 indexed citations
16.
Rathore, Anurag S., et al.. (2014). Guidance for performing multivariate data analysis of bioprocessing data: Pitfalls and recommendations. Biotechnology Progress. 30(4). 967–973. 32 indexed citations
17.
Pathak, Mili, et al.. (2014). Analytical QbD: Development of a native gel electrophoresis method for measurement of monoclonal antibody aggregates. Electrophoresis. 35(15). 2163–2171. 17 indexed citations
18.
Rathore, Anurag S., et al.. (2014). Chemometrics application in biotech processes: assessing comparability across processes and scales. Journal of Chemical Technology & Biotechnology. 89(9). 1311–1316. 20 indexed citations
19.
Rathore, Anurag S., et al.. (2013). Refolding of biotech therapeutic proteins expressed in bacteria: review. Journal of Chemical Technology & Biotechnology. 88(10). 1794–1806. 41 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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