Daniel Uribe-Vélez

54 total papers · 1.2k total citations
39 papers, 927 citations indexed

About

Daniel Uribe-Vélez is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Daniel Uribe-Vélez has authored 39 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 13 papers in Molecular Biology and 6 papers in Soil Science. Recurrent topics in Daniel Uribe-Vélez's work include Plant-Microbe Interactions and Immunity (14 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Daniel Uribe-Vélez is often cited by papers focused on Plant-Microbe Interactions and Immunity (14 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Daniel Uribe-Vélez collaborates with scholars based in Colombia, United States and Bolivia. Daniel Uribe-Vélez's co-authors include James D. Macmillan, Shaul Reuveny, L. Miller, Felipe A. Perdomo, Yoav Bashan, Ruth Bonilla, Andrés Moreno-Galván, Alia Rodríguez, Ian R. Sanders and Louis H. Miller and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Daniel Uribe-Vélez

36 papers receiving 879 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Uribe-Vélez 503 369 161 138 67 39 927
Deepak Saxena 551 1.1× 394 1.1× 136 0.8× 23 0.2× 34 0.5× 28 896
Chang Zhao 324 0.6× 198 0.5× 181 1.1× 27 0.2× 68 1.0× 54 923
Sergey E. Sedykh 487 1.0× 309 0.8× 53 0.3× 221 1.6× 10 0.1× 55 1.1k
Bin Jia 537 1.1× 134 0.4× 116 0.7× 26 0.2× 17 0.3× 65 949
Abhishek K. Srivastava 219 0.4× 332 0.9× 69 0.4× 21 0.2× 16 0.2× 34 1.1k
Jinlong Liu 410 0.8× 575 1.6× 62 0.4× 47 0.3× 12 0.2× 55 1.0k
Matthew C. Thomas 461 0.9× 108 0.3× 66 0.4× 21 0.2× 30 0.4× 46 1.0k
Xiaojiao Liu 255 0.5× 604 1.6× 39 0.2× 19 0.1× 21 0.3× 50 1.1k
Bing Li 344 0.7× 149 0.4× 26 0.2× 44 0.3× 18 0.3× 52 945
Rosarita Tatè 428 0.9× 541 1.5× 113 0.7× 12 0.1× 27 0.4× 47 1.2k

Countries citing papers authored by Daniel Uribe-Vélez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Uribe-Vélez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Uribe-Vélez. 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 Daniel Uribe-Vélez. The network helps show where Daniel Uribe-Vélez may publish in the future.

Co-authorship network of co-authors of Daniel Uribe-Vélez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Uribe-Vélez. A scholar is included among the top collaborators of Daniel Uribe-Vélez 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 Daniel Uribe-Vélez. Daniel Uribe-Vélez 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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