Paul Audhya

98 total papers · 3.9k total citations
45 papers, 2.9k citations indexed

About

Paul Audhya is a scholar working on Nephrology, Genetics and Hematology. According to data from OpenAlex, Paul Audhya has authored 45 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Nephrology, 16 papers in Genetics and 16 papers in Hematology. Recurrent topics in Paul Audhya's work include Dialysis and Renal Disease Management (16 papers), Erythropoietin and Anemia Treatment (12 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers). Paul Audhya is often cited by papers focused on Dialysis and Renal Disease Management (16 papers), Erythropoietin and Anemia Treatment (12 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers). Paul Audhya collaborates with scholars based in United States, Germany and United Kingdom. Paul Audhya's co-authors include Colin J. Meyer, Robert D. Toto, Melissa Krauth, Heidi Christ‐Schmidt, Janet Wittes, Dick de Zeeuw, Giuseppe Remuzzi, Dennis L. Andress, Yili Pritchett and Τushar Garimella and has published in prestigious journals such as New England Journal of Medicine, The Lancet and American Journal of Epidemiology.

In The Last Decade

Paul Audhya

41 papers receiving 2.8k citations

Hit Papers

Bardoxolone Methyl in Typ... 2010 2026 2015 2020 2013 2011 2010 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
Paul Audhya 1.2k 865 502 440 389 45 2.9k
Laetitia Dou 1.7k 1.4× 1.2k 1.4× 324 0.6× 181 0.4× 300 0.8× 39 3.5k
Daniela Veit Barreto 2.1k 1.8× 525 0.6× 238 0.5× 428 1.0× 269 0.7× 34 3.1k
Claire Cérini 1.5k 1.3× 1.2k 1.4× 289 0.6× 160 0.4× 257 0.7× 31 3.2k
Fellype Carvalho Barreto 2.4k 2.0× 696 0.8× 296 0.6× 495 1.1× 303 0.8× 84 3.8k
Atsushi Fukatsu 1.0k 0.9× 1.3k 1.5× 782 1.6× 396 0.9× 178 0.5× 102 4.0k
Con Tsalamandris 1.3k 1.1× 348 0.4× 980 2.0× 197 0.4× 541 1.4× 42 3.1k
Sandra Rayego‐Mateos 940 0.8× 1.3k 1.5× 230 0.5× 257 0.6× 208 0.5× 73 3.1k
Evangelia Dounousi 1.2k 1.0× 449 0.5× 333 0.7× 186 0.4× 328 0.8× 118 2.8k
Joachim Jankowski 1.1k 0.9× 939 1.1× 418 0.8× 103 0.2× 395 1.0× 64 3.0k
Fuyuhiko Nishijima 1.2k 1.0× 772 0.9× 265 0.5× 120 0.3× 285 0.7× 37 2.4k

Countries citing papers authored by Paul Audhya

Since Specialization
Citations

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

Fields of papers citing papers by Paul Audhya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Audhya

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Audhya. A scholar is included among the top collaborators of Paul Audhya 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 Paul Audhya. Paul Audhya 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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