Jonathan P. Bernardini

18 total papers · 1.3k total citations
13 papers, 607 citations indexed

About

Jonathan P. Bernardini is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Jonathan P. Bernardini has authored 13 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Jonathan P. Bernardini's work include Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Jonathan P. Bernardini is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Jonathan P. Bernardini collaborates with scholars based in Australia, Canada and United States. Jonathan P. Bernardini's co-authors include Grant Dewson, Michael Lazarou, Ahmad Z. Wardak, Iris K. L. Tan, Peter E. Czabotar, Jason M. Brouwer, Jarrod J. Sandow, Che A. Stafford, Aleksandra Bankovacki and Jörg Gsponer and has published in prestigious journals such as Genes & Development, The EMBO Journal and Blood.

In The Last Decade

Jonathan P. Bernardini

13 papers receiving 606 citations

Author Peers

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

Author						Papers	Cites
Jonathan P. Bernardini	445	207	91	84	78	13	607
Walid Mahfouf	448 1.0×	178 0.9×	136 1.5×	76 0.9×	86 1.1×	20	670
Carson A. Wills	321 0.7×	352 1.7×	124 1.4×	71 0.8×	56 0.7×	14	643
Alexandra Wolf	230 0.5×	136 0.7×	63 0.7×	74 0.9×	114 1.5×	14	546
Anna M. Schläfli	430 1.0×	367 1.8×	128 1.4×	63 0.8×	77 1.0×	17	660
Seung Baek Lee	416 0.9×	110 0.5×	106 1.2×	72 0.9×	85 1.1×	9	572
Sylvia Torres-Odio	345 0.8×	100 0.5×	53 0.6×	144 1.7×	45 0.6×	16	567
Qin Yu	393 0.9×	137 0.7×	145 1.6×	68 0.8×	145 1.9×	20	663
Longgui Chen	288 0.6×	304 1.5×	94 1.0×	65 0.8×	29 0.4×	12	562
Tian Ding	215 0.5×	116 0.6×	96 1.1×	53 0.6×	118 1.5×	19	498
Raquela J. Thomas	476 1.1×	128 0.6×	82 0.9×	70 0.8×	83 1.1×	10	590

Countries citing papers authored by Jonathan P. Bernardini

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan P. Bernardini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan P. Bernardini. 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 Jonathan P. Bernardini. The network helps show where Jonathan P. Bernardini may publish in the future.

Co-authorship network of co-authors of Jonathan P. Bernardini

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan P. Bernardini. A scholar is included among the top collaborators of Jonathan P. Bernardini 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 Jonathan P. Bernardini. Jonathan P. Bernardini 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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