Alberto Pagnamenta

69 total papers · 1.1k total citations
50 papers, 673 citations indexed

About

Alberto Pagnamenta is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Surgery. According to data from OpenAlex, Alberto Pagnamenta has authored 50 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 11 papers in Neurology and 10 papers in Surgery. Recurrent topics in Alberto Pagnamenta's work include Pulmonary Hypertension Research and Treatments (10 papers), COVID-19 Clinical Research Studies (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Alberto Pagnamenta is often cited by papers focused on Pulmonary Hypertension Research and Treatments (10 papers), COVID-19 Clinical Research Studies (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Alberto Pagnamenta collaborates with scholars based in Switzerland, Italy and Belgium. Alberto Pagnamenta's co-authors include Robert Naeije, Serge Brimioulle, Pierre Fesler, Pierre Wauthy, Giovanna Brandi, Rebecca Vanderpool, Céline Dewachter, Kathleen Mc Entee, Silvia Cottini and Stephanie Klinzing and has published in prestigious journals such as Neurology, American Journal of Respiratory and Critical Care Medicine and Journal of Applied Physiology.

In The Last Decade

Alberto Pagnamenta

45 papers receiving 649 citations

Author Peers

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

Author						Papers	Cites
Alberto Pagnamenta	322	261	119	100	85	50	673
Mauricio Ferri	176 0.5×	239 0.9×	118 1.0×	36 0.4×	71 0.8×	40	649
Olivier Grosgurin	174 0.5×	105 0.4×	204 1.7×	125 1.3×	72 0.8×	53	733
Mutsuko Moriwaki	137 0.4×	152 0.6×	169 1.4×	252 2.5×	36 0.4×	24	738
Brendan Clark	414 1.3×	131 0.5×	88 0.7×	259 2.6×	37 0.4×	22	718
Kuang‐Ming Liao	379 1.2×	158 0.6×	129 1.1×	151 1.5×	13 0.2×	88	776
Karen Berger	81 0.3×	105 0.4×	104 0.9×	72 0.7×	57 0.7×	54	559
Emily L. Wilson	180 0.6×	100 0.4×	120 1.0×	212 2.1×	50 0.6×	31	703
Katherine M. Reitz	137 0.4×	183 0.7×	89 0.7×	187 1.9×	28 0.3×	72	623
Umesh Gidwani	117 0.4×	317 1.2×	80 0.7×	163 1.6×	48 0.6×	49	659
Abhinav Goyal	182 0.6×	313 1.2×	93 0.8×	243 2.4×	23 0.3×	70	791

Countries citing papers authored by Alberto Pagnamenta

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Pagnamenta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Pagnamenta

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