Hernán G. García

6.1k citations
71 papers · 3.7k indexed · 1 hit paper · h-index 31
Topics
Gene Regulatory Network Analysis (36 papers)Genomics and Chromatin Dynamics (18 papers)Bacterial Genetics and Biotechnology (15 papers)

In The Last Decade

Hernán G. García

68 papers receiving 3.6k citations

Hit Papers

Transcriptional regulation by the numbers: models20052026201220192005100200300400500

Peers

Hernán G. García
Comparison fields: 5 of 137
  • Molecular Biology 3.2k
  • Genetics 920
  • Plant Science 294
  • Biophysics 255
  • Cell Biology 210
Replace Michel Robert‐Nicoud with:
Michel Robert‐Nicoud France
Mark A. Rould United States
Yaron Shav‐Tal Israel
François‐Michel Boisvert Canada
Remo Rohs United States
David K. Breslow United States
Attila Becskei Switzerland
Sua Myong United States
Miroslav Dundr United States
Salman F. Banani United States
Hernán G. García relative to Michel Robert‐Nicoud France Michel Robert‐Nicoud's profile →
Citations per field
00.5×7.9×
Michel Robert‐Nicoud · 1×
Citations per year

Countries citing papers authored by Hernán G. García

Since Specialization
Citations

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

Fields of papers citing papers by Hernán G. García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hernán G. García. 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 Hernán G. García. The network helps show where Hernán G. García may publish in the future.

Co-authorship network of co-authors of Hernán G. García

This figure shows the co-authorship network connecting the top 25 collaborators of Hernán G. García. A scholar is included among the top collaborators of Hernán G. García 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 Hernán G. García. Hernán G. García 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 0
2 4
3 7
4 1
5 0
6 3
7 4
8 13
9 18
10 57
11 29
12 56
13 6
14 134
15 1
16 178
17 45
18 41
19 33
20 22

About Hernán G. García

Hernán G. García is a scholar working on Biophysics, Molecular Biology and Genetics, having authored 71 papers that have together received 3.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (36 papers), Genomics and Chromatin Dynamics (18 papers) and Bacterial Genetics and Biotechnology (15 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Biophysics (255 citations) and Aging (63 citations). Hernán G. García has collaborated with scholars based in United States, Chile and Germany. Frequent co-authors include Rob Phillips, Jané Kondev, Thomas Gregor, Terence Hwa, Nicolas E. Buchler, Ulrich Gerland, Lacramioara Bintu, Jacques P. Bothma, Nicholas C Lammers and Albert Lin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

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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