Daniel M. Girardi

86 total papers · 682 total citations
31 papers, 350 citations indexed

About

Daniel M. Girardi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Daniel M. Girardi has authored 31 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in Pulmonary and Respiratory Medicine and 10 papers in Surgery. Recurrent topics in Daniel M. Girardi's work include Cancer Immunotherapy and Biomarkers (7 papers), Bladder and Urothelial Cancer Treatments (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Daniel M. Girardi is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Bladder and Urothelial Cancer Treatments (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Daniel M. Girardi collaborates with scholars based in Brazil, United States and Canada. Daniel M. Girardi's co-authors include Gustavo dos Santos Fernandes, Allan Andresson Lima Pereira, Rachel P. Riechelmann, Renata A. Coudry, Felipe Paiva Fonseca, Eduardo Rodrigues Fregnani, Andrea B. Apolo, Paulo M. Hoff, Marcelo V. Negrão and Chris T. Bauch and has published in prestigious journals such as Journal of Clinical Oncology, Physica A Statistical Mechanics and its Applications and The Oncologist.

In The Last Decade

Daniel M. Girardi

27 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel M. Girardi 154 121 85 61 54 31 350
Israh Akhtar 85 0.6× 89 0.7× 55 0.6× 80 1.3× 37 0.7× 37 328
Noëlle Weingertner 148 1.0× 93 0.8× 55 0.6× 188 3.1× 21 0.4× 41 391
Olga L. Bohn 140 0.9× 77 0.6× 32 0.4× 81 1.3× 25 0.5× 18 351
Nakamura Rm 65 0.4× 106 0.9× 54 0.6× 58 1.0× 11 0.2× 26 372
Zhenjian Cai 92 0.6× 133 1.1× 38 0.4× 40 0.7× 12 0.2× 26 300
Arzu Taşdemi̇r 192 1.2× 44 0.4× 34 0.4× 79 1.3× 23 0.4× 32 357
Ayman Gaafar 83 0.5× 82 0.7× 52 0.6× 43 0.7× 21 0.4× 29 343
Laura Suárez–Fernández 120 0.8× 126 1.0× 22 0.3× 49 0.8× 43 0.8× 25 322
Ariel Im 189 1.2× 39 0.3× 43 0.5× 99 1.6× 24 0.4× 33 339
P.K. Julka 94 0.6× 42 0.3× 48 0.6× 164 2.7× 21 0.4× 41 361

Countries citing papers authored by Daniel M. Girardi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Girardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Girardi

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