Dhaval K. Shah

3.7k total citations · 1 hit paper
109 papers, 2.7k citations indexed

About

Dhaval K. Shah is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Dhaval K. Shah has authored 109 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Radiology, Nuclear Medicine and Imaging, 47 papers in Molecular Biology and 43 papers in Oncology. Recurrent topics in Dhaval K. Shah's work include Monoclonal and Polyclonal Antibodies Research (56 papers), HER2/EGFR in Cancer Research (31 papers) and Protein purification and stability (20 papers). Dhaval K. Shah is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (56 papers), HER2/EGFR in Cancer Research (31 papers) and Protein purification and stability (20 papers). Dhaval K. Shah collaborates with scholars based in United States, United Kingdom and Switzerland. Dhaval K. Shah's co-authors include Alison Betts, Aman P. Singh, Zhe Li, Sharad Sharma, Nahor Haddish‐Berhane, Hsueh-Yuan Chang, Ben‐Fillippo Krippendorff, Joseph P. Balthasar, Ashwni Verma and Nagendra Chemuturi and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Advanced Drug Delivery Reviews.

In The Last Decade

Dhaval K. Shah

106 papers receiving 2.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Nanoparticle biodistribution coefficients: A quantitative approach for understanding the tissue distribution of nanoparticles

2023 128 citations Dhaval K. Shah et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dhaval K. Shah United States	31	1.3k	1.1k	1.1k	425	268	109	2.7k
Joseph P. Balthasar United States	32	2.0k 1.5×	873 0.8×	1.8k 1.6×	997 2.3×	280 1.0×	98	3.8k
Daniela Bumbaca United States	20	1.1k 0.8×	735 0.7×	1.0k 0.9×	359 0.8×	152 0.6×	29	2.2k
Sophia N. Karagiannis United Kingdom	37	941 0.7×	1.3k 1.1×	1.2k 1.1×	1.8k 4.3×	234 0.9×	127	4.0k
Bhuvanesh Dave United States	24	361 0.3×	1.3k 1.2×	1.3k 1.2×	198 0.5×	213 0.8×	39	2.6k
Debra L. Dugger United States	17	1.3k 0.9×	1.7k 1.5×	2.7k 2.4×	1.1k 2.6×	124 0.5×	24	4.3k
Katherine R. Kozak United States	24	674 0.5×	760 0.7×	965 0.9×	342 0.8×	120 0.4×	39	2.0k
Amalia Azzariti Italy	37	272 0.2×	1.4k 1.3×	1.9k 1.7×	334 0.8×	285 1.1×	132	3.6k
Uwe Zangemeister‐Wittke Switzerland	44	866 0.6×	1.6k 1.5×	4.0k 3.6×	1.0k 2.4×	195 0.7×	108	5.6k
Zahra Shahrokh United States	15	492 0.4×	565 0.5×	2.6k 2.4×	730 1.7×	216 0.8×	26	3.2k
Rishi Surana United States	15	634 0.5×	1.8k 1.6×	1.3k 1.2×	858 2.0×	292 1.1×	24	3.4k

Countries citing papers authored by Dhaval K. Shah

Since Specialization

Citations

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

Fields of papers citing papers by Dhaval K. Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dhaval K. Shah. 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 Dhaval K. Shah. The network helps show where Dhaval K. Shah may publish in the future.

Co-authorship network of co-authors of Dhaval K. Shah

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huisman, Marc C., Sandeep S.V. Golla, D. Huglo, et al.. (2025). 89Zr-mAb uptake interpretation requires the use of tissue to plasma ratios corrected for antibody catabolism. EJNMMI Research. 15(1). 122–122.

Liu, Shufang, et al.. (2025). Effect of FcRn Binding on Monoclonal Antibody Disposition in the Brain. The AAPS Journal. 27(3). 72–72. 2 indexed citations

Arora, Meenakshi, et al.. (2024). Polyester Nanoparticles with Controlled Topography for Peroral Drug Delivery Using Insulin as a Model Protein. ACS Nano. 18(18). 11863–11875. 4 indexed citations

Chowdhury, Ekram Ahmed, Manuj Ahuja, Shufang Liu, et al.. (2023). Pharmacokinetics of AAV9 Mediated Trastuzumab Expression in Rat Brain Following Systemic and Local Administration. Journal of Pharmaceutical Sciences. 113(1). 131–140. 4 indexed citations

Shah, Dhaval K., et al.. (2023). Isolation, Characterization of Undescribed Alkaloids, and Semisynthetic Modifications of Cytotoxic Pyranoacridone Alkaloids from Glycosmis pentaphylla. ACS Omega. 8(12). 11201–11212. 5 indexed citations

Shah, Dhaval K., et al.. (2023). Pharmacokinetics and Pharmacodynamics of Antibody-Drug Conjugates Administered via Subcutaneous and Intratumoral Routes. Pharmaceutics. 15(4). 1132–1132. 26 indexed citations

Liu, Shufang, Ekram Ahmed Chowdhury, B. Ly, et al.. (2023). Whole-Body Disposition and Physiologically Based Pharmacokinetic Modeling of Adeno-Associated Viruses and the Transgene Product. Journal of Pharmaceutical Sciences. 113(1). 141–157. 5 indexed citations

Quinney, Sara K., Robert R. Bies, Shaun J. Grannis, et al.. (2023). The MPRINT Hub Data, Model, Knowledge and Research Coordination Center: Bridging the gap in maternal–pediatric therapeutics research through data integration and pharmacometrics. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 43(5). 391–402. 8 indexed citations

Li, Ying-Yi, et al.. (2023). Pharmacokinetics of Monoclonal Antibody and Antibody Fragments in The Mouse Eye Following Intravitreal Administration. Journal of Pharmaceutical Sciences. 112(8). 2276–2284. 2 indexed citations

10.

Kim, Se Jin, Calvin J. Meaney, Nicholas M. Smith, et al.. (2023). Urinary biomarkers as indicators of acute kidney injury in critically ill children exposed to vancomycin. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 44(2). 163–170. 2 indexed citations

11.

Li, Miaomiao, Christophe Langouët-Astrié, Lisi Tan, et al.. (2022). Heparan sulfate-dependent RAGE oligomerization is indispensable for pathophysiological functions of RAGE. eLife. 11. 10 indexed citations

12.

Stüber, Jakob C., Saša M. Miladinović, Thomas Pöschinger, et al.. (2022). Impact of charge patches on tumor disposition and biodistribution of therapeutic antibodies. SHILAP Revista de lepidopterología. 8(1). 7 indexed citations

13.

McCombs, Jessica R., et al.. (2021). Antibody-drug conjugate and free geldanamycin combination therapy enhances anti-cancer efficacy. International Journal of Pharmaceutics. 610. 121272–121272. 16 indexed citations

14.

Arora, Meenakshi, Raghu Ganugula, Erin M. Scott, et al.. (2021). Nanoparticles that do not compete with endogenous ligands – Molecular characterization in vitro, acute safety in canine, and interspecies pharmacokinetics modeling to humans. Journal of Controlled Release. 332. 64–73. 8 indexed citations

15.

Sharma, Sharad, et al.. (2020). Evaluation of Quantitative Relationship Between Target Expression and Antibody-Drug Conjugate Exposure Inside Cancer Cells. Drug Metabolism and Disposition. 48(5). 368–377. 30 indexed citations

16.

Kim, Se Jin, et al.. (2020). Whole-Body Pharmacokinetics of Antibody in Mice Determined using Enzyme-Linked Immunosorbent Assay and Derivation of Tissue Interstitial Concentrations. Journal of Pharmaceutical Sciences. 110(1). 446–457. 35 indexed citations

17.

Qiao, Chunxia, et al.. (2018). Engineered pH-dependent recycling antibodies enhance elimination of Staphylococcal enterotoxin B superantigen in mice. mAbs. 11(2). 411–421. 6 indexed citations

18.

Singh, Aman P., Sharad Sharma, & Dhaval K. Shah. (2016). Quantitative characterization of in vitro bystander effect of antibody-drug conjugates. Journal of Pharmacokinetics and Pharmacodynamics. 43(6). 567–582. 100 indexed citations

19.

Li, Zhe, Ben‐Fillippo Krippendorff, Sharad Sharma, et al.. (2015). Influence of molecular size on tissue distribution of antibody fragments. mAbs. 8(1). 113–119. 128 indexed citations

20.

Shah, Dhaval K., et al.. (1996). MULTI-FRACTION ABSORPTION MODEL FOR PHARMACOKINETIC ANALYSIS OF DILTIAZEM TABLETS. Indian Journal of Pharmaceutical Sciences. 58(3). 106–109. 1 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.

Explore authors with similar magnitude of impact