Alan Parr

1.1k citations
41 papers · 776 · h-index 16

Impact in

Papers in

Alan Parr

40 papers receiving 725 citations

Peers

Alan Parr
Comparison fields: 5 of 106
  • Pharmaceutical Science 361
  • Gastroenterology 107
  • Statistics and Probability 97
  • Analytical Chemistry 84
  • Management Science and Operations Research 66
Replace Nobuo Aoyagi with:
Nobuo Aoyagi Japan
André J. Jackson United States
Barbara M. Davit United States
Rodrigo Cristofoletti United States
Alfredo García‐Arieta Spain
Paul Seo United States
Sau Lawrence Lee United States
Nikunjkumar Patel United Kingdom
Paulo Paixão Portugal
Constantin Efthymiopoulos United Kingdom
Alan Parr relative to Nobuo Aoyagi Japan Nobuo Aoyagi's profile →
Citations per field
00.5×6.6×
Nobuo Aoyagi · 1×
Citations per year

Countries citing papers authored by Alan Parr

Since Specialization
Citations

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

Fields of papers citing papers by Alan Parr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alan Parr, 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 Alan Parr Line = papers co-authored together Alan Parr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198771
2 200762
3 201555
4 199052
5 199350
6 198745
7 201744
8 200835
9 201132
10 201727
11 199825
12 201724
13 198524
14 199923
15 202118
16 202118
17 201515
18 198614
19 201713
20 198712

About Alan Parr

Alan Parr is a scholar working on Pharmaceutical Science, Analytical Chemistry, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Radiation, having authored 41 papers that have together received 776 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (17 papers), Analytical Methods in Pharmaceuticals (8 papers), Advanced Drug Delivery Systems (6 papers), Pharmaceutical studies and practices (5 papers), Nuclear Physics and Applications (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Pharmaceutical Science (361 citations), Gastroenterology (107 citations), Statistics and Probability (97 citations), Analytical Chemistry (84 citations) and Management Science and Operations Research (66 citations). Alan Parr has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Robert M. Beihn, George A. Digenis, Michael Jay, Erik P. Sandefer, Diane Potvin, Donald J. Schuirmann, Walter W. Hauck, Vinod P. Shah, James E. Polli and Rodrigo Cristofoletti. Their work appears in journals such as Journal of Pharmaceutical Sciences, Pharmaceutical Research, Pharmaceutical Statistics, International Journal of Pharmaceutics and The Journal of Clinical Pharmacology.

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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