Noemi Poma

35 total papers · 1.1k total citations
28 papers, 827 citations indexed

About

Noemi Poma is a scholar working on Molecular Biology, Bioengineering and Biomedical Engineering. According to data from OpenAlex, Noemi Poma has authored 28 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Bioengineering and 9 papers in Biomedical Engineering. Recurrent topics in Noemi Poma's work include Analytical Chemistry and Sensors (9 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Electrochemical sensors and biosensors (7 papers). Noemi Poma is often cited by papers focused on Analytical Chemistry and Sensors (9 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Electrochemical sensors and biosensors (7 papers). Noemi Poma collaborates with scholars based in Italy, Austria and United States. Noemi Poma's co-authors include Fabio Di Francesco, Federico Maria Vivaldi, Andrea Bonini, Pietro Salvo, Denise Biagini, Arianna Tavanti, Arno Kirchhain, Francesco Greco, Alexander Dallinger and Daria Bottai and has published in prestigious journals such as ACS Applied Materials & Interfaces, Biosensors and Bioelectronics and Sensors and Actuators B Chemical.

In The Last Decade

Noemi Poma

27 papers receiving 818 citations

Hit Papers

Three-Dimensional (3D) La... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Noemi Poma 366 285 256 152 149 28 827
Andrea Bonini 464 1.3× 337 1.2× 324 1.3× 193 1.3× 167 1.1× 41 991
Dênio Emanuel Pires Souto 346 0.9× 446 1.6× 300 1.2× 93 0.6× 100 0.7× 34 886
Chae Hwan Cho 255 0.7× 361 1.3× 213 0.8× 80 0.5× 134 0.9× 26 703
Lucas F. de Lima 499 1.4× 309 1.1× 374 1.5× 100 0.7× 203 1.4× 37 950
Xuzhi Zhang 481 1.3× 462 1.6× 211 0.8× 109 0.7× 150 1.0× 52 1.0k
Niharika Gupta 417 1.1× 218 0.8× 419 1.6× 117 0.8× 294 2.0× 21 897
Chee‐Seng Toh 373 1.0× 337 1.2× 214 0.8× 104 0.7× 182 1.2× 30 770
Il‐Hoon Cho 474 1.3× 524 1.8× 220 0.9× 64 0.4× 127 0.9× 20 877
Jinglong Liu 508 1.4× 254 0.9× 250 1.0× 93 0.6× 135 0.9× 20 868
Wenqiong Su 450 1.2× 698 2.4× 174 0.7× 103 0.7× 166 1.1× 31 1.1k

Countries citing papers authored by Noemi Poma

Since Specialization
Citations

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

Fields of papers citing papers by Noemi Poma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noemi Poma

This figure shows the co-authorship network connecting the top 25 collaborators of Noemi Poma. A scholar is included among the top collaborators of Noemi Poma 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 Noemi Poma. Noemi Poma 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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