David Gasperino

18 total papers · 526 total citations
16 papers, 414 citations indexed

About

David Gasperino is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, David Gasperino has authored 16 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Materials Chemistry and 4 papers in Molecular Biology. Recurrent topics in David Gasperino's work include Biosensors and Analytical Detection (6 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers) and Advanced Semiconductor Detectors and Materials (4 papers). David Gasperino is often cited by papers focused on Biosensors and Analytical Detection (6 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers) and Advanced Semiconductor Detectors and Materials (4 papers). David Gasperino collaborates with scholars based in United States. David Gasperino's co-authors include Bernhard H. Weigl, Helen V. Hsieh, Joshua D. Bishop, Jeffrey J. Derby, David Bell, Andrew Yeckel, Linli Meng, David J. Norris, Michael D. Ward and Mary Bliss and has published in prestigious journals such as Analytical Chemistry, Langmuir and Advances in Colloid and Interface Science.

In The Last Decade

David Gasperino

16 papers receiving 410 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Gasperino	261	212	81	71	54	16	414
Andrea Ranzoni	239 0.9×	167 0.8×	43 0.5×	84 1.2×	46 0.9×	15	421
Guoqing Deng	158 0.6×	188 0.9×	95 1.2×	41 0.6×	59 1.1×	36	481
Heekyoung Kang	125 0.5×	139 0.7×	113 1.4×	48 0.7×	50 0.9×	20	466
Syed Barizuddin	246 0.9×	149 0.7×	59 0.7×	44 0.6×	61 1.1×	16	413
Trong‐Nghia Le	212 0.8×	130 0.6×	102 1.3×	81 1.1×	27 0.5×	26	384
Peter Engelhardt	88 0.3×	130 0.6×	85 1.0×	39 0.5×	32 0.6×	21	481
Yinglong Feng	294 1.1×	171 0.8×	47 0.6×	29 0.4×	92 1.7×	16	450
Lingling Song	121 0.5×	146 0.7×	99 1.2×	70 1.0×	46 0.9×	26	413
Simone Hageneder	223 0.9×	179 0.8×	50 0.6×	21 0.3×	50 0.9×	15	374
Lucy Hu	348 1.3×	149 0.7×	23 0.3×	53 0.7×	56 1.0×	10	481

Countries citing papers authored by David Gasperino

Since Specialization

Citations

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

Fields of papers citing papers by David Gasperino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gasperino

This figure shows the co-authorship network connecting the top 25 collaborators of David Gasperino. A scholar is included among the top collaborators of David Gasperino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Gasperino. David Gasperino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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