Yatin R. Gokarn

3.1k total citations · 2 hit papers
27 papers, 2.4k citations indexed

About

Yatin R. Gokarn is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Yatin R. Gokarn has authored 27 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Yatin R. Gokarn's work include Protein purification and stability (21 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Yatin R. Gokarn is often cited by papers focused on Protein purification and stability (21 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Yatin R. Gokarn collaborates with scholars based in United States, France and India. Yatin R. Gokarn's co-authors include Samir Mitragotri, Aaron C. Anselmo, Aditya A. Wakankar, Sutapa Barua, Jin‐Wook Yoo, Yan Chen, Fredric S. Jacobson, David N. Brems, R. Matthew Fesinmeyer and Atul Saluja and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Reviews Drug Discovery and Biochemistry.

In The Last Decade

Yatin R. Gokarn

26 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

Non-invasive delivery strategies for biologics

2018 478 citations Aaron C. Anselmo, Yatin R. Gokarn et al. Nature Reviews Drug Discovery profile →
Particle shape enhances specificity of antibody-displaying nanoparticles

2013 437 citations Aditya A. Wakankar, Yatin R. Gokarn et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yatin R. Gokarn United States	18	1.6k	1.1k	530	338	288	27	2.4k
James N. Herron United States	31	2.2k 1.3×	1.3k 1.2×	624 1.2×	352 1.0×	149 0.5×	94	3.2k
Başar Bilgiçer United States	30	1.7k 1.1×	388 0.4×	598 1.1×	971 2.9×	241 0.8×	66	2.9k
Tudor Arvinte Switzerland	26	1.5k 0.9×	394 0.4×	269 0.5×	278 0.8×	120 0.4×	60	2.1k
Quentin Baca United States	10	1.2k 0.8×	325 0.3×	291 0.5×	357 1.1×	144 0.5×	12	2.0k
Sampathkumar Krishnan United States	17	2.0k 1.3×	879 0.8×	282 0.5×	81 0.2×	236 0.8×	18	2.5k
Xue‐Long Sun United States	30	1.7k 1.1×	323 0.3×	350 0.7×	434 1.3×	52 0.2×	123	2.9k
Beth Goins United States	37	1.4k 0.9×	916 0.9×	1.0k 2.0×	1.4k 4.1×	173 0.6×	107	3.6k
Stéphanie Lerondel France	23	612 0.4×	1.2k 1.2×	420 0.8×	171 0.5×	52 0.2×	50	2.4k
Jonas R. Henriksen Denmark	26	1.7k 1.0×	250 0.2×	735 1.4×	703 2.1×	68 0.2×	57	2.6k
Byron Ballou United States	23	1.7k 1.0×	462 0.4×	893 1.7×	372 1.1×	71 0.2×	49	3.1k

Countries citing papers authored by Yatin R. Gokarn

Since Specialization

Citations

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

Fields of papers citing papers by Yatin R. Gokarn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yatin R. Gokarn. 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 Yatin R. Gokarn. The network helps show where Yatin R. Gokarn may publish in the future.

Co-authorship network of co-authors of Yatin R. Gokarn

This figure shows the co-authorship network connecting the top 25 collaborators of Yatin R. Gokarn. A scholar is included among the top collaborators of Yatin R. Gokarn 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 Yatin R. Gokarn. Yatin R. Gokarn 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

Rembert, Kelvin B., Yatin R. Gokarn, & Atul Saluja. (2024). Designing Robust Monoclonal Antibody Drug Products: Pitfalls of Simplistic Approaches for Stability Prediction. Journal of Pharmaceutical Sciences. 113(8). 2296–2304.

Kingsbury, Jonathan S., Charles G. Starr, & Yatin R. Gokarn. (2024). A scaling relationship between thermodynamic and hydrodynamic interactions in protein solutions. Biophysical Journal. 123(22). 3871–3883. 1 indexed citations

Suja, Vineeth Chandran, Qin M. Qi, Kevin T. Halloran, et al.. (2023). A biomimetic chip to assess subcutaneous bioavailability of monoclonal antibodies in humans. PNAS Nexus. 2(10). pgad317–pgad317. 5 indexed citations

Starr, Charles G., Emily K. Makowski, Lina Wu, et al.. (2021). Ultradilute Measurements of Self-Association for the Identification of Antibodies with Favorable High-Concentration Solution Properties. Molecular Pharmaceutics. 18(7). 2744–2753. 27 indexed citations

Lai, Pin‐Kuang, Amendra Fernando, Yatin R. Gokarn, et al.. (2021). Machine Learning Applied to Determine the Molecular Descriptors Responsible for the Viscosity Behavior of Concentrated Therapeutic Antibodies. Molecular Pharmaceutics. 18(3). 1167–1175. 56 indexed citations

Kingsbury, Jonathan S., et al.. (2021). Characterization of Opalescence in low Volume Monoclonal Antibody Solutions Enabled by Microscale Nephelometry. Journal of Pharmaceutical Sciences. 110(9). 3176–3182. 3 indexed citations

Kingsbury, Jonathan S., Sarah M. Auclair, Li Fu, et al.. (2020). A single molecular descriptor to predict solution behavior of therapeutic antibodies. Science Advances. 6(32). eabb0372–eabb0372. 113 indexed citations

Anselmo, Aaron C., Yatin R. Gokarn, & Samir Mitragotri. (2018). Non-invasive delivery strategies for biologics. Nature Reviews Drug Discovery. 18(1). 19–40. 478 indexed citations breakdown →

Yadav, Sandeep, Jun Liu, Thomas Scherer, et al.. (2013). Assessment and significance of protein–protein interactions during development of protein biopharmaceuticals. Biophysical Reviews. 5(2). 121–136. 17 indexed citations

10.

Kamerzell, Tim J., et al.. (2013). Polar Solvents Decrease the Viscosity of High Concentration IgG1 Solutions Through Hydrophobic Solvation and Interaction: Formulation and Biocompatibility Considerations. Journal of Pharmaceutical Sciences. 102(4). 1182–1193. 22 indexed citations

11.

Gokarn, Yatin R., Matthew A. McLean, & Thomas M. Laue. (2012). Effect of PEGylation on Protein Hydrodynamics. Molecular Pharmaceutics. 9(4). 762–773. 59 indexed citations

12.

Yadav, Sandeep, Barthélemy Demeule, Natalie A. Ciaccio, et al.. (2012). Weak Interactions Govern the Viscosity of Concentrated Antibody Solutions: High-Throughput Analysis Using the Diffusion Interaction Parameter. Biophysical Journal. 103(1). 69–78. 259 indexed citations

13.

Gokarn, Yatin R., R. Matthew Fesinmeyer, Atul Saluja, et al.. (2011). Effective charge measurements reveal selective and preferential accumulation of anions, but not cations, at the protein surface in dilute salt solutions. Protein Science. 20(3). 580–587. 111 indexed citations

14.

Wakankar, Aditya A., Yan Chen, Yatin R. Gokarn, & Fredric S. Jacobson. (2011). Analytical methods for physicochemical characterization of antibody drug conjugates. mAbs. 3(2). 161–172. 281 indexed citations

15.

Saluja, Atul, et al.. (2010). Diffusion and Sedimentation Interaction Parameters for Measuring the Second Virial Coefficient and Their Utility as Predictors of Protein Aggregation. Biophysical Journal. 99(8). 2657–2665. 132 indexed citations

16.

Brych, Stephen R., et al.. (2009). Characterization of antibody aggregation: Role of buried, unpaired cysteines in particle formation. Journal of Pharmaceutical Sciences. 99(2). 764–781. 79 indexed citations

17.

Fesinmeyer, R. Matthew, Atul Saluja, Stephen R. Brych, et al.. (2008). Effect of Ions on Agitation- and Temperature-Induced Aggregation Reactions of Antibodies. Pharmaceutical Research. 26(4). 903–913. 107 indexed citations

18.

Gokarn, Yatin R., R. Matthew Fesinmeyer, Atul Saluja, et al.. (2008). Ion‐specific modulation of protein interactions: Anion‐induced, reversible oligomerization of a fusion protein. Protein Science. 18(1). 169–179. 40 indexed citations

19.

Saluja, Atul, R. Matthew Fesinmeyer, Richard L. Remmele, et al.. (2008). Anion Binding Mediated Precipitation of a Peptibody. Pharmaceutical Research. 26(1). 152–60. 16 indexed citations

20.

Gokarn, Yatin R., R. Matthew Fesinmeyer, Stephen R. Brych, et al.. (2007). Self-Buffering Antibody Formulations. Journal of Pharmaceutical Sciences. 97(8). 3051–3066. 49 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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