Neil Mody

608 total citations
12 papers, 400 citations indexed

About

Neil Mody is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biotechnology. According to data from OpenAlex, Neil Mody has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biotechnology. Recurrent topics in Neil Mody's work include Protein purification and stability (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Neil Mody is often cited by papers focused on Protein purification and stability (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Neil Mody collaborates with scholars based in United States, United Kingdom and Brazil. Neil Mody's co-authors include Bernhardt L. Trout, Hasige A. Sathish, Chaitanya Sudrik, Hardeep S. Samra, Reza Esfandiary, Bernhard Helk, Patrick M. Buck, Neeraj J. Agrawal, Sandeep Kumar and Li Li and has published in prestigious journals such as Journal of Controlled Release, Pharmaceutical Research and Journal of Pharmaceutical Sciences.

In The Last Decade

Neil Mody

12 papers receiving 376 citations

Peers

Countries citing papers authored by Neil Mody

Since Specialization

Citations

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

Fields of papers citing papers by Neil Mody

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Mody

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning 2025 ·mAbs ·(unknown), (unknown), (unknown), (unknown), (unknown), Mark R. Hutchinson, (unknown), (unknown), (unknown), Melissa Damschroder, Valentin Stanev, (unknown), Mohammad Ali Boroumand, J. Timothy Caldwell, Andrew Hinton, (unknown), (unknown), (unknown), Neil Mody, Pin‐Kuang Lai	4
2	Predicting human subcutaneous bioavailability of monoclonal antibodies using an integrated in-vitro/in-silico approach 2025 ·Journal of Controlled Release ·(unknown), (unknown), Monika Sundqvist, J. Timothy Caldwell, Neil Mody, (unknown), Mariarosa Mazza	4
3	Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics 2022 ·mAbs ·Pin‐Kuang Lai, (unknown), Neil Mody, Hasige A. Sathish, Bernhardt L. Trout	50
4	Critical Reagents for Ligand-Binding Assays: Process Development Methodologies to Enable High-Quality Reagents 2022 ·Bioanalysis ·(unknown), Jared A. Delmar, (unknown), (unknown), Christopher R. Jones, (unknown), Robert Kubiak, Nancy Lee, (unknown), Neil Mody, (unknown)	4
5	Machine Learning Models of Antibody–Excipient Preferential Interactions for Use in Computational Formulation Design 2020 ·Molecular Pharmaceutics ·(unknown), Chaitanya Sudrik, Neil Mody, Hasige A. Sathish, Bernhardt L. Trout	23
6	Molecular computations of preferential interactions of proline, arginine.HCl, and NaCl with IgG1 antibodies and their impact on aggregation and viscosity 2020 ·mAbs ·(unknown), Chaitanya Sudrik, Neil Mody, (unknown), Bernhardt L. Trout	30
7	Understanding the Role of Preferential Exclusion of Sugars and Polyols from Native State IgG1 Monoclonal Antibodies and its Effect on Aggregation and Reversible Self-Association 2019 ·Pharmaceutical Research ·Chaitanya Sudrik, (unknown), Neil Mody, Hasige A. Sathish, Bernhardt L. Trout	34
8	Molecular Computations of Preferential Interaction Coefficients of IgG1 Monoclonal Antibodies with Sorbitol, Sucrose, and Trehalose and the Impact of These Excipients on Aggregation and Viscosity 2019 ·Molecular Pharmaceutics ·(unknown), Chaitanya Sudrik, Neil Mody, Hasige A. Sathish, Bernhardt L. Trout	28
9	Developability Assessment of Engineered Monoclonal Antibody Variants with a Complex Self-Association Behavior Using Complementary Analytical and in Silico Tools 2018 ·Molecular Pharmaceutics ·Lu Shan, Neil Mody, (unknown), (unknown), Melissa Damschroder, Reza Esfandiary	49
10	An “Fc-Silenced” IgG1 Format With Extended Half-Life Designed for Improved Stability 2017 ·Journal of Pharmaceutical Sciences ·M. Jack Borrok, Neil Mody, Xiaojun Lu, (unknown), Herren Wu, William F. Dall’Acqua, Ping Tsui	39
11	Utility of High Throughput Screening Techniques to Predict Stability of Monoclonal Antibody Formulations During Early Stage Development 2017 ·Journal of Pharmaceutical Sciences ·Deborah S. Goldberg, Rachael A. Lewus, Reza Esfandiary, (unknown), Neil Mody, (unknown), (unknown), Malgorzata B. Tracka, (unknown), Hardeep S. Samra	36
12	Computational tool for the early screening of monoclonal antibodies for their viscosities 2015 ·mAbs ·Neeraj J. Agrawal, Bernhard Helk, Sandeep Kumar, Neil Mody, Hasige A. Sathish, Hardeep S. Samra, Patrick M. Buck, Li Li, Bernhardt L. Trout	99

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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