Daniel Forciniti

930 citations
40 papers · 741 · h-index 15

Impact in

Papers in

Daniel Forciniti

38 papers receiving 711 citations

Peers

Daniel Forciniti
Comparison fields: 5 of 86
  • Filtration and Separation 232
  • Surfaces, Coatings and Films 61
  • Fluid Flow and Transfer Processes 42
  • Organic Chemistry 158
  • Biomaterials 68
Replace Bhavesh Bharatiya with:
Bhavesh Bharatiya India
José Manuel del Rı́o Mexico
Pinaki R. Majhi India
Elena V. Parfenyuk Russia
D. Eagland United Kingdom
Ibrahim M. Sidahmed Egypt
José Manuel Hierrezuelo Osorio Spain
Ranjit De South Korea
Vinod K. Aswal India
Elena Blanco Spain
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Citations per field
00.5×3.1×
Bhavesh Bharatiya · 1×
Citations per year

Countries citing papers authored by Daniel Forciniti

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Forciniti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199195
2 199084
3 199179
4 200450
5 200045
6 200641
7 199727
8 200126
9 200421
10 202021
11 199221
12 199419
13
Temperature dependence of the partition coefficient of proteins in aqueous two-phase systems.
199117
14 199416
15 199714
16 201614
17 199113
18 200513
19 200912
20 200412

About Daniel Forciniti

Daniel Forciniti is a scholar working on Molecular Biology, Filtration and Separation, Materials Chemistry, Spectroscopy and Surfaces, Coatings and Films, having authored 40 papers that have together received 741 indexed citations. Recurring topics across this work include Chemical and Physical Properties in Aqueous Solutions (11 papers), Protein purification and stability (9 papers), Analytical Chemistry and Chromatography (6 papers), Crystallization and Solubility Studies (5 papers), Polymer Surface Interaction Studies (5 papers), Proteins in Food Systems (4 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers) and Surfactants and Colloidal Systems (4 papers). The work is most often cited by research in Filtration and Separation (232 citations), Surfaces, Coatings and Films (61 citations), Fluid Flow and Transfer Processes (42 citations), Organic Chemistry (158 citations) and Biomaterials (68 citations). Daniel Forciniti has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include Carol K. Hall, M.‐R. Kula, M.‐R. Kula, P. Neogi, Christopher R. Newman, Ke Li, Jae Wook Lee, William A. Hamilton, Christine Hall and Maria-Regina Kula. Their work appears in journals such as Biotechnology and Bioengineering, Biotechnology Progress, The Journal of Chemical Physics, Journal of Colloid and Interface Science and Journal of Biotechnology.

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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