Sérgio Campainha

108 total papers · 504 total citations
33 papers, 247 citations indexed

About

Sérgio Campainha is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Epidemiology. According to data from OpenAlex, Sérgio Campainha has authored 33 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 8 papers in Physiology and 7 papers in Epidemiology. Recurrent topics in Sérgio Campainha's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Sarcoidosis and Beryllium Toxicity Research (5 papers). Sérgio Campainha is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Sarcoidosis and Beryllium Toxicity Research (5 papers). Sérgio Campainha collaborates with scholars based in Portugal, United States and Brazil. Sérgio Campainha's co-authors include Margarida Dias, Sofia Neves, Carla Ribeiro, Ricardo Lima, Raquel Duarte, Ana Antunes, José Cotter, João Eurico Fonseca, Helena Canhão and Bruno Rosa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Thoracic Oncology and Supportive Care in Cancer.

In The Last Decade

Sérgio Campainha

30 papers receiving 239 citations

Author Peers

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

Author						Papers	Cites
Sérgio Campainha	178	52	49	38	31	33	247
Hanako Yoshimura	222 1.2×	74 1.4×	51 1.0×	31 0.8×	20 0.6×	32	313
Adriana Iriarte	131 0.7×	24 0.5×	87 1.8×	55 1.4×	26 0.8×	25	262
Go Naka	125 0.7×	79 1.5×	57 1.2×	29 0.8×	67 2.2×	38	270
Naoki Watanabe	173 1.0×	110 2.1×	33 0.7×	43 1.1×	36 1.2×	35	314
Sun Hyo Park	179 1.0×	32 0.6×	46 0.9×	20 0.5×	76 2.5×	26	260
Tatsunori Jo	167 0.9×	82 1.6×	51 1.0×	22 0.6×	28 0.9×	25	318
A. Justet	167 0.9×	28 0.5×	74 1.5×	32 0.8×	21 0.7×	30	260
Naoko Katsurada	148 0.8×	111 2.1×	23 0.5×	44 1.2×	72 2.3×	41	323
Yoshito Matsubara	216 1.2×	31 0.6×	38 0.8×	66 1.7×	12 0.4×	43	276
A Emonot	186 1.0×	47 0.9×	64 1.3×	100 2.6×	37 1.2×	28	298

Countries citing papers authored by Sérgio Campainha

Since Specialization

Citations

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

Fields of papers citing papers by Sérgio Campainha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sérgio Campainha

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