Sandra Suarez‐Sharp

900 citations
26 papers · 683 · h-index 14

Impact in

Papers in

Sandra Suarez‐Sharp

25 papers receiving 668 citations

Peers

Sandra Suarez‐Sharp
Comparison fields: 5 of 77
  • Pharmaceutical Science 439
  • Analytical Chemistry 127
  • Statistics and Probability 86
  • Pharmacology 51
  • Spectroscopy 87
Replace Sivacharan Kollipara with:
Sivacharan Kollipara India
Paul Seo United States
Kimberly Raines United States
Martin Mueller‐Zsigmondy Switzerland
Binfeng Xia United States
Henrike Potthast Germany
Evangelos Kotzagiorgis United States
Walter S. Woltosz United States
Sara Carlert Sweden
Panos Macheras Greece
Sandra Suarez‐Sharp relative to Sivacharan Kollipara India Sivacharan Kollipara's profile →
Citations per field
00.5×1.5×2×2.5×
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 201678
3 201865
4 201852
5 202151
6 202048
7 202045
8 202441
9 201930
10 202024
11 202023
12 202423
13 202020
14 201315
15 202413
16 202112
17 201610
18 202010
19 20229
20 20208

About Sandra Suarez‐Sharp

Sandra Suarez‐Sharp is a scholar working on Pharmaceutical Science, Analytical Chemistry, Statistics and Probability, Computational Theory and Mathematics and Materials Chemistry, having authored 26 papers that have together received 683 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (16 papers), Crystallization and Solubility Studies (9 papers), Protein purification and stability (9 papers), Analytical Methods in Pharmaceuticals (6 papers), Computational Drug Discovery Methods (5 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 (439 citations), Analytical Chemistry (127 citations), Statistics and Probability (86 citations), Pharmacology (51 citations) and Spectroscopy (87 citations). Sandra Suarez‐Sharp has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Paul Seo, Tycho Heimbach, Xavier Pépin, Filippos Kesisoglou, Amitava Mitra, Andreas M. Abend, John Z. Duan, Min Li, Xinyuan Zhang and Michael J. Cohen. Their work appears in journals such as The AAPS Journal, Journal of Pharmaceutical Sciences, Molecular Pharmaceutics, Dissolution Technologies and Pharmaceutical Research.

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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