Danielle M. Karyadi

72 total papers · 6.1k total citations
26 papers, 696 citations indexed

About

Danielle M. Karyadi is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Danielle M. Karyadi has authored 26 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 12 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in Danielle M. Karyadi's work include Prostate Cancer Treatment and Research (12 papers), Genetic Associations and Epidemiology (7 papers) and Prostate Cancer Diagnosis and Treatment (6 papers). Danielle M. Karyadi is often cited by papers focused on Prostate Cancer Treatment and Research (12 papers), Genetic Associations and Epidemiology (7 papers) and Prostate Cancer Diagnosis and Treatment (6 papers). Danielle M. Karyadi collaborates with scholars based in United States, United Kingdom and South Africa. Danielle M. Karyadi's co-authors include Elaine A. Ostrander, Brennan Decker, Heidi G. Parker, Janet L. Stanford, Erika M. Kwon, Brian W. Davis, Jaemin Kim, Andrew N. Hogan, Jocelyn Plassais and Alex C. Harris and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Danielle M. Karyadi

21 papers receiving 691 citations

Author Peers

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

Author Last Decade Papers Cites
Danielle M. Karyadi 341 309 268 124 65 26 696
Benoît Hédan 307 0.9× 260 0.8× 351 1.3× 87 0.7× 68 1.0× 28 769
Elisabeth Sundström 231 0.7× 268 0.9× 63 0.2× 59 0.5× 42 0.6× 21 602
Alessandra Ratto 184 0.5× 178 0.6× 424 1.6× 59 0.5× 205 3.2× 27 686
Carmen Rodríguez 407 1.2× 266 0.9× 32 0.1× 142 1.1× 88 1.4× 19 718
Xiaolin Wu 348 1.0× 173 0.6× 51 0.2× 175 1.4× 53 0.8× 21 653
Jun Zhou 121 0.4× 409 1.3× 53 0.2× 91 0.7× 94 1.4× 35 688
Tiha M. Long 208 0.6× 144 0.5× 46 0.2× 91 0.7× 169 2.6× 21 686
Daniel Azuara 89 0.3× 251 0.8× 88 0.3× 135 1.1× 168 2.6× 24 606
R. Preziosi 96 0.3× 166 0.5× 401 1.5× 31 0.3× 94 1.4× 30 632
Alisha M. Gruntman 257 0.8× 357 1.2× 189 0.7× 71 0.6× 109 1.7× 34 694

Countries citing papers authored by Danielle M. Karyadi

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M. Karyadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle M. Karyadi

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