Nikki Daskalakis

13 total papers · 1.3k total citations
10 papers, 1.0k citations indexed

About

Nikki Daskalakis is a scholar working on Nephrology, Genetics and Molecular Biology. According to data from OpenAlex, Nikki Daskalakis has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nephrology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Nikki Daskalakis's work include Renal Diseases and Glomerulopathies (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Nikki Daskalakis is often cited by papers focused on Renal Diseases and Glomerulopathies (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Nikki Daskalakis collaborates with scholars based in United States, South Korea and France. Nikki Daskalakis's co-authors include Michelle P. Winn, Seth M. Ebersviller, Paul B. Rosenberg, Tony L. Creazzo, James L. Burchette, Margaret A. Pericak‐Vance, Peter J. Conlon, Kelvin L. Lynn, David N. Howell and April Hawkins and has published in prestigious journals such as Science, Blood and Cancer Research.

In The Last Decade

Nikki Daskalakis

10 papers receiving 1.0k citations

Hit Papers

A Mutation in the TRPC6 C... 2005 2026 2012 2019 2005 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Nikki Daskalakis 646 402 258 145 128 10 1.0k
Krishna R. Polu 551 0.9× 318 0.8× 199 0.8× 153 1.1× 94 0.7× 17 908
Sarabeth Graham 108 0.2× 514 1.3× 333 1.3× 82 0.6× 63 0.5× 14 989
Sung-Wan An 628 1.0× 248 0.6× 81 0.3× 19 0.1× 287 2.2× 8 868
Rainer Ruf 636 1.0× 760 1.9× 10 0.0× 126 0.9× 259 2.0× 16 1.2k
Carole Hénique 377 0.6× 349 0.9× 11 0.0× 60 0.4× 64 0.5× 24 1.1k
Patrick J. Flannery 168 0.3× 406 1.0× 16 0.1× 32 0.2× 178 1.4× 19 1.1k
Saskia J.G. Hoefs 326 0.5× 707 1.8× 79 0.3× 5 0.0× 239 1.9× 9 1.1k
Caroline B. Marshall 656 1.0× 378 0.9× 8 0.0× 51 0.4× 186 1.5× 14 931
Peng Gao 220 0.3× 606 1.5× 25 0.1× 9 0.1× 49 0.4× 21 1.1k
Lionel C. Clément 400 0.6× 343 0.9× 8 0.0× 51 0.4× 60 0.5× 17 1.1k

Countries citing papers authored by Nikki Daskalakis

Since Specialization
Citations

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

Fields of papers citing papers by Nikki Daskalakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikki Daskalakis

This figure shows the co-authorship network connecting the top 25 collaborators of Nikki Daskalakis. A scholar is included among the top collaborators of Nikki Daskalakis 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 Nikki Daskalakis. Nikki Daskalakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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