Eneida Pardo

26 total papers · 1.0k total citations
5 papers, 117 citations indexed

About

Eneida Pardo is a scholar working on Molecular Biology, Hematology and Biomedical Engineering. According to data from OpenAlex, Eneida Pardo has authored 5 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Biomedical Engineering. Recurrent topics in Eneida Pardo's work include Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Eneida Pardo is often cited by papers focused on Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Eneida Pardo collaborates with scholars based in United States. Eneida Pardo's co-authors include Barbara M. Bryant, Robert J. Sims, Adrianne Neiss, Jennifer A. Mertz, Charlie Hatton, Archana Bommi‐Reddy, Péter Sandy, Patricia J. Keller, Andrew R. Conery and Richard C. Centore and has published in prestigious journals such as Cancer Research, eLife and SLAS DISCOVERY.

In The Last Decade

Eneida Pardo

4 papers receiving 114 citations

Author Peers

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

Author						Papers	Cites
Eneida Pardo	109	44	20	10	7	5	117
Mohamed Haji	82 0.8×	25 0.6×	25 1.3×	6 0.6×	2 0.3×	5	105
James Schiemer	99 0.9×	33 0.8×	42 2.1×	5 0.5×	6 0.9×	6	126
Marisa Actis	92 0.8×	39 0.9×	42 2.1×	6 0.6×	2 0.3×	7	129
Szu Shen Wong	37 0.3×	35 0.8×	15 0.8×	16 1.6×	4 0.6×	6	108
Jason X. Tang	73 0.7×	15 0.3×	24 1.2×	25 2.5×	30 4.3×	5	114
Sarah R. Webb	224 2.1×	45 1.0×	29 1.4×	20 2.0×	2 0.3×	6	279
Bonnie Le	123 1.1×	40 0.9×	35 1.8×	10 1.0×		4	156
Ulf-Henrik Mellqvist	66 0.6×	66 1.5×	36 1.8×	5 0.5×	2 0.3×	4	94
Kelly Federowicz	117 1.1×	26 0.6×	26 1.3×	10 1.0×	1 0.1×	5	143
Luc de Waal	132 1.2×	35 0.8×	11 0.6×	11 1.1×	2 0.3×	5	149

Countries citing papers authored by Eneida Pardo

Since Specialization

Citations

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

Fields of papers citing papers by Eneida Pardo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eneida Pardo

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