Sandra Suarez‐Sharp

867 citations
23 papers · 530 · h-index 11

Impact in

Papers in

Sandra Suarez‐Sharp

22 papers receiving 525 citations

Peers

Sandra Suarez‐Sharp
Comparison fields: 5 of 73
  • Pharmaceutical Science 343
  • Analytical Chemistry 101
  • Statistics and Probability 66
  • Pharmacology 42
  • Spectroscopy 73
Replace Sivacharan Kollipara with:
Sivacharan Kollipara India
Paul Seo United States
Andreas Abend United States
Binfeng Xia United States
Henrike Potthast Germany
Kimberly Raines United States
Shriram M. Pathak India
Martin Mueller‐Zsigmondy Switzerland
Stefania Beato Switzerland
Jan Welink Netherlands
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 201669
3 201862
4 201846
5 202145
6 202041
7 202432
8 201928
9 202021
10 202020
11 202018
12 201610
13 20219
14 20139
15 20209
16 20229
17 20176
18 20206
19 20244
20 20224

About Sandra Suarez‐Sharp

Sandra Suarez‐Sharp is a scholar working on Pharmaceutical Science, Materials Chemistry, Molecular Biology, Analytical Chemistry and Computational Theory and Mathematics, having authored 23 papers that have together received 530 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), Statistical Methods in Clinical Trials (4 papers), Computational Drug Discovery Methods (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 (343 citations), Analytical Chemistry (101 citations), Statistics and Probability (66 citations), Pharmacology (42 citations) and Spectroscopy (73 citations). Sandra Suarez‐Sharp has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Paul Seo, Tycho Heimbach, Filippos Kesisoglou, Xavier Pépin, Amitava Mitra, Andreas Abend, John Duan, Xinyuan Zhang, Min Li and Michael J. Cohen. Their work appears in journals such as The AAPS Journal, Journal of Pharmaceutical Sciences, Dissolution Technologies, Molecular Pharmaceutics and CPT Pharmacometrics & Systems 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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