Roy J. Haskell

1.1k citations
21 papers · 705 · h-index 12

Impact in

Papers in

Roy J. Haskell

20 papers receiving 676 citations

Peers

Roy J. Haskell
Comparison fields: 5 of 92
  • Pharmaceutical Science 505
  • Analytical Chemistry 70
  • Spectroscopy 98
  • Materials Chemistry 264
  • Pharmacology 31
Replace Kevin J. Stefanski with:
Kevin J. Stefanski United States
Hiroshi Ueda Japan
Scott V. Jermain United States
James Nightingale United Kingdom
Rinta Ibuki Japan
Krishna Hari Bhandari South Korea
Madhuri Newa South Korea
M. Serpil Kislalioglu United States
Emilio Squillante United States
Tamaki Miyazaki Japan
Roy J. Haskell relative to Kevin J. Stefanski United States Kevin J. Stefanski's profile →
Citations per field
00.5×1.7×
Kevin J. Stefanski · 1×
Citations per year

Countries citing papers authored by Roy J. Haskell

Since Specialization
Citations

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

Fields of papers citing papers by Roy J. Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy J. Haskell. 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 Roy J. Haskell. The network helps show where Roy J. Haskell may publish in the future.

Co-authors

The 25 scholars most cited alongside Roy J. Haskell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roy J. Haskell Line = papers co-authored together Roy J. Haskell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014156
2 2016109
3 201670
4 201764
5 201747
6 201142
7 201441
8 200432
9 201527
10 199826
11 201422
12 201418
13 201210
14 20199
15 20198
16 20068
17 20157
18 20174
19 20173
20 20062

About Roy J. Haskell

Roy J. Haskell is a scholar working on Pharmaceutical Science, Analytical Chemistry, Biomaterials, Materials Chemistry and Physical and Theoretical Chemistry, having authored 21 papers that have together received 705 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (12 papers), Crystallization and Solubility Studies (6 papers), Advancements in Transdermal Drug Delivery (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Surfactants and Colloidal Systems (3 papers), Advanced Drug Delivery Systems (3 papers), Analytical Chemistry and Chromatography (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Pharmaceutical Science (505 citations), Analytical Chemistry (70 citations), Spectroscopy (98 citations), Materials Chemistry (264 citations) and Pharmacology (31 citations). Roy J. Haskell has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Michael J. Hageman, Munir A. Hussain, Feng Qian, Kevin J. Stefanski, Ching Su, Yuejie Chen, Chengyu Liu, Shujing Wang, Zhen Chen and Shan Wang. Their work appears in journals such as Journal of Pharmaceutical Sciences, International Journal of Pharmaceutics, Molecular Pharmaceutics, Pharmaceutical Research and Pharmaceutical Development and Technology.

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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