Markku H. Vaarala

73 total papers · 5.2k total citations
53 papers, 1.5k citations indexed

About

Markku H. Vaarala is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Markku H. Vaarala has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 17 papers in Molecular Biology and 15 papers in Surgery. Recurrent topics in Markku H. Vaarala's work include Prostate Cancer Treatment and Research (13 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Prostate Cancer Diagnosis and Treatment (9 papers). Markku H. Vaarala is often cited by papers focused on Prostate Cancer Treatment and Research (13 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Prostate Cancer Diagnosis and Treatment (9 papers). Markku H. Vaarala collaborates with scholars based in Finland, United States and China. Markku H. Vaarala's co-authors include Pirkko Vihko, Katja Porvari, Saila Kauppila, Pasi Hirvikoski, Atte P. Kyllönen, Marja‐Riitta Väisänen, O Lukkarinen, Ari Ristimäki, Sakari Kellokumpu and Pasi Ohtonen and has published in prestigious journals such as Oncogene, International Journal of Cancer and European Urology.

In The Last Decade

Markku H. Vaarala

51 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Markku H. Vaarala	570	552	285	238	219	53	1.5k
Thea Kalebic	727 1.3×	314 0.6×	416 1.5×	127 0.5×	239 1.1×	59	1.6k
Arnaldo Arbini	902 1.6×	249 0.5×	427 1.5×	158 0.7×	395 1.8×	55	1.8k
Raphaël Saffroy	558 1.0×	342 0.6×	491 1.7×	85 0.4×	286 1.3×	79	1.8k
Hye Won Lee	484 0.8×	314 0.6×	308 1.1×	153 0.6×	260 1.2×	53	1.2k
Désirée Tampe	609 1.1×	323 0.6×	279 1.0×	208 0.9×	201 0.9×	46	1.4k
Tomoyuki Nagai	596 1.0×	405 0.7×	523 1.8×	146 0.6×	260 1.2×	95	1.7k
G. Daniel Grass	610 1.1×	345 0.6×	490 1.7×	282 1.2×	239 1.1×	78	1.5k
Carsten Grüllich	553 1.0×	472 0.9×	490 1.7×	258 1.1×	185 0.8×	90	1.5k
Thomas Licht	757 1.3×	225 0.4×	712 2.5×	155 0.7×	84 0.4×	63	1.8k
Margherita Gigante	433 0.8×	269 0.5×	243 0.9×	360 1.5×	172 0.8×	38	1.2k

Countries citing papers authored by Markku H. Vaarala

Since Specialization

Citations

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

Fields of papers citing papers by Markku H. Vaarala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markku H. Vaarala. 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 Markku H. Vaarala. The network helps show where Markku H. Vaarala may publish in the future.

Co-authorship network of co-authors of Markku H. Vaarala

This figure shows the co-authorship network connecting the top 25 collaborators of Markku H. Vaarala. A scholar is included among the top collaborators of Markku H. Vaarala 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 Markku H. Vaarala. Markku H. Vaarala 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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