Diana M. Tabima

52 total papers · 1.2k total citations
31 papers, 829 citations indexed

About

Diana M. Tabima is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Diana M. Tabima has authored 31 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 17 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Diana M. Tabima's work include Cardiovascular Function and Risk Factors (17 papers), Pulmonary Hypertension Research and Treatments (16 papers) and Nitric Oxide and Endothelin Effects (4 papers). Diana M. Tabima is often cited by papers focused on Cardiovascular Function and Risk Factors (17 papers), Pulmonary Hypertension Research and Treatments (16 papers) and Nitric Oxide and Endothelin Effects (4 papers). Diana M. Tabima collaborates with scholars based in United States, Colombia and Germany. Diana M. Tabima's co-authors include Naomi C. Chesler, Mark T. Gladwin, Sheila Frizzell, Timothy A. Hacker, Jennifer L. Philip, Zhijie Wang, Rebecca Vanderpool, Ana L. Mora, Adolfo Garcı́a-Ocaña and Claudette M. St. Croix and has published in prestigious journals such as Circulation, Journal of Applied Physiology and Free Radical Biology and Medicine.

In The Last Decade

Diana M. Tabima

28 papers receiving 822 citations

Author Peers

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

Author Last Decade Papers Cites
Diana M. Tabima 475 450 148 137 125 31 829
Serge Adnot 295 0.6× 430 1.0× 193 1.3× 141 1.0× 272 2.2× 28 1.1k
Joel E. Barbato 521 1.1× 275 0.6× 218 1.5× 246 1.8× 122 1.0× 20 921
Jana Grune 185 0.4× 333 0.7× 249 1.7× 173 1.3× 103 0.8× 45 882
Sarasa Isobe 226 0.5× 296 0.7× 212 1.4× 142 1.0× 154 1.2× 40 874
Thomas F. Lüscher 209 0.4× 186 0.4× 153 1.0× 238 1.7× 97 0.8× 22 860
Constance C. F. M. J. Baaten 217 0.5× 307 0.7× 165 1.1× 151 1.1× 64 0.5× 34 1.1k
Nobuhiro Yaoita 556 1.2× 437 1.0× 164 1.1× 93 0.7× 44 0.4× 38 904
Hidemi Kajimoto 169 0.4× 333 0.7× 269 1.8× 149 1.1× 141 1.1× 25 870
Kota Suzuki 161 0.3× 284 0.6× 263 1.8× 145 1.1× 84 0.7× 45 765
Ngoc Nguyen 195 0.4× 380 0.8× 152 1.0× 133 1.0× 50 0.4× 19 903

Countries citing papers authored by Diana M. Tabima

Since Specialization
Citations

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

Fields of papers citing papers by Diana M. Tabima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana M. Tabima. 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 Diana M. Tabima. The network helps show where Diana M. Tabima may publish in the future.

Co-authorship network of co-authors of Diana M. Tabima

This figure shows the co-authorship network connecting the top 25 collaborators of Diana M. Tabima. A scholar is included among the top collaborators of Diana M. Tabima 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 Diana M. Tabima. Diana M. Tabima 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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