Acely Garza-Garcı́a

1.9k citations
29 papers · 1.3k indexed · h-index 18
Topics
Tuberculosis Research and Epidemiology (6 papers)Developmental Biology and Gene Regulation (5 papers)Biochemical and Molecular Research (4 papers)

In The Last Decade

Acely Garza-Garcı́a

28 papers receiving 1.3k citations

Peers

Acely Garza-Garcı́a
Comparison fields: 5 of 108
  • Molecular Biology 839
  • Cellular and Molecular Neuroscience 181
  • Genetics 140
  • Rheumatology 135
  • Infectious Diseases 135
Replace Roger G. Clerc with:
Roger G. Clerc Switzerland
François Amalric France
M R Green United States
Toshio Maekawa Japan
Wang L. Cheung United States
Iros Barozzi Italy
Ramiro Ramírez‐Solis United Kingdom
Thomas Dechat Austria
Rosa Barrio Spain
Masatake Araki Japan
Acely Garza-Garcı́a relative to Roger G. Clerc Switzerland Roger G. Clerc's profile →
Citations per field
00.5×5.6×
Roger G. Clerc · 1×
Citations per year

Countries citing papers authored by Acely Garza-Garcı́a

Since Specialization
Citations

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

Fields of papers citing papers by Acely Garza-Garcı́a

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Acely Garza-Garcı́a. 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 Acely Garza-Garcı́a. The network helps show where Acely Garza-Garcı́a may publish in the future.

Co-authorship network of co-authors of Acely Garza-Garcı́a

This figure shows the co-authorship network connecting the top 25 collaborators of Acely Garza-Garcı́a. A scholar is included among the top collaborators of Acely Garza-Garcı́a 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 Acely Garza-Garcı́a. Acely Garza-Garcı́a is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 14
3 15
4 6
5 47
6 24
7 19
8 63
9 25
10 18
11 14
12 53
13 27
14 14
15 75
16 43
17 53
18 14
19 12
20 22

About Acely Garza-Garcı́a

Acely Garza-Garcı́a is a scholar working on Aging, Immunology and Allergy and Infectious Diseases, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Developmental Biology and Gene Regulation (5 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Aging (70 citations), Developmental Biology (27 citations) and Molecular Biology (839 citations). Acely Garza-Garcı́a has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include Jeremy P. Brockes, Phillip B. Gates, James W. Godwin, Anoop Kumar, Paul C. Driscoll, Luiz Pedro S. de Carvalho, Diego Esposito, Richard Harris, Dhaval S Patel and David Gems. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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