Pablo Romero-Morelos

49 total papers · 453 total citations
36 papers, 249 citations indexed

About

Pablo Romero-Morelos is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Pablo Romero-Morelos has authored 36 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Oncology. Recurrent topics in Pablo Romero-Morelos's work include Cervical Cancer and HPV Research (7 papers), Reproductive tract infections research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Pablo Romero-Morelos is often cited by papers focused on Cervical Cancer and HPV Research (7 papers), Reproductive tract infections research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Pablo Romero-Morelos collaborates with scholars based in Mexico, United States and Spain. Pablo Romero-Morelos's co-authors include Mauricio Salcedo, Daniel Marrero–Rodríguez, Mónica Mendoza-Rodríguez, Keiko Taniguchi‐Ponciano, Raúl Peralta, Cindy Bandala, Ricardo López-Romero, Florinda Jiménez-Vega, Marco Antonio Meraz‐Ríos and Keiko Taniguchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Clinical Pathology.

In The Last Decade

Pablo Romero-Morelos

31 papers receiving 243 citations

Author Peers

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

Author Last Decade Papers Cites
Pablo Romero-Morelos 116 74 50 43 36 36 249
Eiji Nishio 79 0.7× 69 0.9× 75 1.5× 70 1.6× 20 0.6× 28 292
Keiko Taniguchi‐Ponciano 97 0.8× 68 0.9× 52 1.0× 63 1.5× 16 0.4× 32 268
Ricardo López-Romero 149 1.3× 117 1.6× 98 2.0× 56 1.3× 32 0.9× 30 313
Marta Ortega‐Martínez 75 0.6× 53 0.7× 38 0.8× 70 1.6× 15 0.4× 45 306
H Fritz 119 1.0× 56 0.8× 75 1.5× 22 0.5× 16 0.4× 31 309
Huiqiang Liu 102 0.9× 69 0.9× 66 1.3× 33 0.8× 16 0.4× 31 277
Yoonhyuk Jang 62 0.5× 92 1.2× 21 0.4× 24 0.6× 10 0.3× 30 286
Mei Li 89 0.8× 51 0.7× 28 0.6× 25 0.6× 19 0.5× 27 281
Xintong Zhang 97 0.8× 64 0.9× 51 1.0× 50 1.2× 6 0.2× 26 299
Shengjuan Hu 156 1.3× 47 0.6× 68 1.4× 36 0.8× 6 0.2× 23 263

Countries citing papers authored by Pablo Romero-Morelos

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Romero-Morelos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Romero-Morelos. 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 Pablo Romero-Morelos. The network helps show where Pablo Romero-Morelos may publish in the future.

Co-authorship network of co-authors of Pablo Romero-Morelos

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Romero-Morelos. A scholar is included among the top collaborators of Pablo Romero-Morelos 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 Pablo Romero-Morelos. Pablo Romero-Morelos 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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