Sandra Suarez‐Sharp

822 citations
22 papers · 505 indexed · h-index 11

Impact in

Papers in

Sandra Suarez‐Sharp

22 papers receiving 500 citations

Peers

Sandra Suarez‐Sharp
Comparison fields: 5 of 73
  • Pharmaceutical Science 337
  • Analytical Chemistry 97
  • Statistics and Probability 62
  • Pharmacology 43
  • Spectroscopy 71
Replace Sivacharan Kollipara with:
Sivacharan Kollipara India
Andreas Abend United States
Henrike Potthast Germany
Binfeng Xia United States
Kimberly Raines United States
Jan Welink Netherlands
Shriram M. Pathak India
Stefania Beato Switzerland
Robert A. Lipper United States
Tapon Roy United States
Sandra Suarez‐Sharp relative to Sivacharan Kollipara India Sivacharan Kollipara's profile →
Citations per field
00.5×1.5×2.1×
Sivacharan Kollipara · 1×
Citations per year

Countries citing papers authored by Sandra Suarez‐Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Suarez‐Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra Suarez‐Sharp. 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 Sandra Suarez‐Sharp. The network helps show where Sandra Suarez‐Sharp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201978
2 201667
3 201861
4 201845
5 202041
6 202141
7 201927
8 202424
9 202021
10 202019
11 202017
12 201610
13 20209
14 20139
15 20229
16 20218
17 20176
18 20206
19 20223
20 20242

About Sandra Suarez‐Sharp

Sandra Suarez‐Sharp is a scholar working on Pharmaceutical Science, Analytical Chemistry, Statistics and Probability, Computational Theory and Mathematics and Pharmacology, having authored 22 papers that have together received 505 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (13 papers), Crystallization and Solubility Studies (9 papers), Protein purification and stability (7 papers), Analytical Methods in Pharmaceuticals (5 papers), Computational Drug Discovery Methods (4 papers), Statistical Methods in Clinical Trials (4 papers), Analytical Chemistry and Chromatography (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Pharmaceutical Science (337 citations), Analytical Chemistry (97 citations), Statistics and Probability (62 citations), Pharmacology (43 citations) and Spectroscopy (71 citations). Sandra Suarez‐Sharp has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Paul Seo, Tycho Heimbach, Filippos Kesisoglou, Xavier Pépin, Amitava Mitra, Andreas Abend, John Duan, Xinyuan Zhang, Min Li and Michael R. Cohen. Their work appears in journals such as The AAPS Journal, Journal of Pharmaceutical Sciences, Dissolution Technologies, Pharmaceutical Research and Molecular Pharmaceutics.

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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