Julia Sanchez‐Garrido

1.0k citations
20 papers · 683 indexed · h-index 16
Topics
Escherichia coli research studies (8 papers)Inflammasome and immune disorders (5 papers)Immune Response and Inflammation (5 papers)
Partner nations
United KingdomSpainItaly

In The Last Decade

Julia Sanchez‐Garrido

19 papers receiving 681 citations

Peers

Julia Sanchez‐Garrido
Comparison fields: 5 of 80
  • Molecular Biology 361
  • Immunology 182
  • Endocrinology 178
  • Infectious Diseases 117
  • Molecular Medicine 82
Replace Liliana M. Massis with:
Liliana M. Massis Brazil
Baofeng Hu United States
Nawar Naseer United States
Genyan Liu China
Brittany N. Ross United States
Bijaya K. Dhakal United States
Elena Vikström Sweden
Jing Zhu China
Nicholas A. Eisele United States
Lin Zhan China
Julia Sanchez‐Garrido relative to Liliana M. Massis Brazil Liliana M. Massis's profile →
Citations per field
00.5×1.5×
Liliana M. Massis · 1×
Citations per year

Countries citing papers authored by Julia Sanchez‐Garrido

Since Specialization
Citations

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

Fields of papers citing papers by Julia Sanchez‐Garrido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Sanchez‐Garrido. 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 Julia Sanchez‐Garrido. The network helps show where Julia Sanchez‐Garrido may publish in the future.

Co-authorship network of co-authors of Julia Sanchez‐Garrido

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Sanchez‐Garrido. A scholar is included among the top collaborators of Julia Sanchez‐Garrido 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 Julia Sanchez‐Garrido. Julia Sanchez‐Garrido 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 48
4 26
5 34
6 7
7 70
8 46
9 5
10 19
11 39
12 19
13 20
14 23
15 124
16 32
17 27
18 57
19 17
20 66

About Julia Sanchez‐Garrido

Julia Sanchez‐Garrido is a scholar working on Endocrinology, Molecular Medicine and Immunology, having authored 20 papers that have together received 683 indexed citations. Recurring topics across this work include Escherichia coli research studies (8 papers), Inflammasome and immune disorders (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Endocrinology (178 citations), Molecular Medicine (82 citations) and Immunology (182 citations). Julia Sanchez‐Garrido has collaborated with scholars based in United Kingdom, Spain and Italy. Frequent co-authors include Avinash R. Shenoy, Gad Frankel, Caroline Mullineaux-Sanders, Rachael Barry, David Ruano‐Gallego, Jyoti S. Choudhary, Abigail Clements, Vanessa Sancho‐Shimizu, Luis Ángel Fernández and Mitchell A. Pallett. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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