Pranay Ladiwala

416 total citations
8 papers, 285 citations indexed

About

Pranay Ladiwala is a scholar working on Molecular Biology, Physical and Theoretical Chemistry and Biomaterials. According to data from OpenAlex, Pranay Ladiwala has authored 8 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Physical and Theoretical Chemistry and 2 papers in Biomaterials. Recurrent topics in Pranay Ladiwala's work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Protein purification and stability (4 papers) and thermodynamics and calorimetric analyses (3 papers). Pranay Ladiwala is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (5 papers), Protein purification and stability (4 papers) and thermodynamics and calorimetric analyses (3 papers). Pranay Ladiwala collaborates with scholars based in United States and Germany. Pranay Ladiwala's co-authors include Wenqin Bai, Christopher H. Bowen, Jonathan M. Galazka, Bin Dai, Fuzhong Zhang, David L. Kaplan, Wenwen Huang, Michael J. Betenbaugh, Andrew Pekosz and Andrea L. Cox and has published in prestigious journals such as Journal of Clinical Investigation, Langmuir and Biomacromolecules.

In The Last Decade

Pranay Ladiwala

8 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pranay Ladiwala United States	5	168	145	51	33	23	8	285
Xing Hu China	9	125 0.7×	187 1.3×	35 0.7×	35 1.1×	54 2.3×	22	331
Philip Chambers United Kingdom	8	42 0.3×	60 0.4×	39 0.8×	73 2.2×	21 0.9×	11	282
Yannic Kerkhoff Germany	10	41 0.2×	133 0.9×	44 0.9×	84 2.5×	18 0.8×	19	324
Tatiana A. Demina Finland	10	78 0.5×	153 1.1×	90 1.8×	25 0.8×	8 0.3×	14	378
Ruben M. F. Tomás United Kingdom	12	47 0.3×	120 0.8×	14 0.3×	94 2.8×	9 0.4×	19	369
Cristina Labate Italy	9	48 0.3×	123 0.8×	39 0.8×	33 1.0×	4 0.2×	10	332
Toko Tokunaga Japan	15	224 1.3×	200 1.4×	39 0.8×	37 1.1×	29 1.3×	49	661
Ching-Hsiang Hsu Taiwan	9	29 0.2×	73 0.5×	18 0.4×	33 1.0×	92 4.0×	17	393
Domyoung Kim United States	7	32 0.2×	280 1.9×	43 0.8×	128 3.9×	14 0.6×	9	377
Yong‐Yu Jhan United States	7	53 0.3×	218 1.5×	70 1.4×	68 2.1×	61 2.7×	7	424

Countries citing papers authored by Pranay Ladiwala

Since Specialization

Citations

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

Fields of papers citing papers by Pranay Ladiwala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranay Ladiwala

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

All Works

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8 of 8 papers shown

1.

Ladiwala, Pranay, et al.. (2025). Unraveling Cytotoxicity in HEK293 Cells During Recombinant AAV Production for Gene Therapy Applications. Biotechnology Journal. 20(3). e202400501–e202400501. 1 indexed citations

2.

Ladiwala, Pranay, et al.. (2025). Mitigating Membrane Biofouling in Protein Production with Zwitterionic Peptides. Langmuir. 41(1). 1057–1067. 2 indexed citations

3.

Ladiwala, Pranay, et al.. (2024). Ala-Cys-Cys-Ala dipeptide dimer alleviates problematic cysteine and cystine levels in media formulations and enhances CHO cell growth and metabolism. Metabolic Engineering. 85. 105–115. 3 indexed citations

4.

Naik, Harnish Mukesh, et al.. (2024). Elucidating uptake and metabolic fate of dipeptides in CHO cell cultures using 13C labeling experiments and kinetic modeling. Metabolic Engineering. 83. 12–23. 6 indexed citations

5.

Ladiwala, Pranay, et al.. (2023). Addressing amino acid‐derived inhibitory metabolites and enhancing CHO cell culture performance through DOE‐guided media modifications. Biotechnology and Bioengineering. 120(9). 2542–2558. 12 indexed citations

6.

Ladiwala, Pranay, Yanglan Tan, Scott A. Shaffer, et al.. (2021). Identification of novel inhibitory metabolites and impact verification on growth and protein synthesis in mammalian cells. Metabolic Engineering Communications. 13. e00182–e00182. 18 indexed citations

7.

Skinner, Nicole, Paul W. Blair, Han-Sol Park, et al.. (2021). Durable SARS-CoV-2 B cell immunity after mild or severe disease. Journal of Clinical Investigation. 131(7). 57 indexed citations

8.

Bowen, Christopher H., Bin Dai, Wenqin Bai, et al.. (2018). Recombinant Spidroins Fully Replicate Primary Mechanical Properties of Natural Spider Silk. Biomacromolecules. 19(9). 3853–3860. 186 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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