Diego A. Pedroza

49 total papers · 430 total citations
14 papers, 287 citations indexed

About

Diego A. Pedroza is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Diego A. Pedroza has authored 14 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Diego A. Pedroza's work include Estrogen and related hormone effects (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Diego A. Pedroza is often cited by papers focused on Estrogen and related hormone effects (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Diego A. Pedroza collaborates with scholars based in United States and Mexico. Diego A. Pedroza's co-authors include Rajkumar Lakshmanaswamy, Ramadevi Subramani, Sushmita Nandy, Edward C. Saltzstein, Arunkumar Arumugam, Venkatesh Rajamanickam, Nieves Pedrón, Luis A. Salazar, Armando Varela‐Ramírez and Renato J. Aguilera and has published in prestigious journals such as Cancer Research, Scientific Reports and Endocrinology.

In The Last Decade

Diego A. Pedroza

13 papers receiving 279 citations

Author Peers

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

Author						Papers	Cites
Diego A. Pedroza	151	84	78	64	41	14	287
Fariba Ghaidi	183 1.2×	47 0.6×	52 0.7×	47 0.7×	63 1.5×	11	286
Lila Kallio	99 0.7×	98 1.2×	42 0.5×	31 0.5×	16 0.4×	13	222
Katrin P. Guillen	107 0.7×	58 0.7×	53 0.7×	59 0.9×	15 0.4×	14	218
Fabio De Martino	132 0.9×	90 1.1×	101 1.3×	51 0.8×	64 1.6×	12	294
Raksha R. Bhat	122 0.8×	76 0.9×	42 0.5×	58 0.9×	22 0.5×	19	291
Shunchao Yan	158 1.0×	151 1.8×	97 1.2×	119 1.9×	26 0.6×	22	332
Ginevra Botta	165 1.1×	98 1.2×	34 0.4×	102 1.6×	25 0.6×	11	286
Thippeswamy Gulappa	210 1.4×	72 0.9×	49 0.6×	28 0.4×	10 0.2×	14	323
Maribel Lara‐Chica	169 1.1×	61 0.7×	63 0.8×	35 0.5×	15 0.4×	13	297
Jacky K. Leung	164 1.1×	52 0.6×	46 0.6×	75 1.2×	49 1.2×	10	298

Countries citing papers authored by Diego A. Pedroza

Since Specialization

Citations

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

Fields of papers citing papers by Diego A. Pedroza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego A. Pedroza. 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 Diego A. Pedroza. The network helps show where Diego A. Pedroza may publish in the future.

Co-authorship network of co-authors of Diego A. Pedroza

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