Julia M. Ayala

3.9k total citations
22 papers, 1.1k citations indexed

About

Julia M. Ayala is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Julia M. Ayala has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 10 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Julia M. Ayala's work include Chemokine receptors and signaling (11 papers), Peptidase Inhibition and Analysis (5 papers) and Protease and Inhibitor Mechanisms (5 papers). Julia M. Ayala is often cited by papers focused on Chemokine receptors and signaling (11 papers), Peptidase Inhibition and Analysis (5 papers) and Protease and Inhibitor Mechanisms (5 papers). Julia M. Ayala collaborates with scholars based in United States, United Kingdom and Japan. Julia M. Ayala's co-authors include Ting-Ting Yamin, Douglas K. Miller, Linda A. Egger, Dennis K. Miller, Christopher J. Molineaux, Samuel D. Wright, Shefali Singla, William A. Hanlon, Mary Struthers and Pasquale P. Vicario and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Julia M. Ayala

22 papers receiving 1.1k citations

Peers

Julia M. Ayala
Comparison fields: 5 of 99
  • Molecular Biology 464
  • Immunology 440
  • Oncology 278
  • Cancer Research 145
  • Rheumatology 126
Replace Friedrich Fresser with:
Friedrich Fresser Austria
Eiji Kobayashi Japan
Gerald Nabozny United States
Koichi Yokota Japan
Eric G. Bremer United States
Gérald Leca France
Marie‐Lise Jourdan France
Masayuki Tsuchiya Japan
Julie Carman United States
Yaping Sun United States
Friedrich Fresser Austria View profile →
Citations per field, relative to Julia M. Ayala
Julia M. Ayala · 1×
Citations per year, relative to Julia M. Ayala
Julia M. Ayala · 1×

Countries citing papers authored by Julia M. Ayala

Since Specialization
Citations

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

Fields of papers citing papers by Julia M. Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia M. Ayala. 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 M. Ayala. The network helps show where Julia M. Ayala may publish in the future.

Co-authorship network of co-authors of Julia M. Ayala

This figure shows the co-authorship network connecting the top 25 collaborators of Julia M. Ayala. A scholar is included among the top collaborators of Julia M. Ayala 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 M. Ayala. Julia M. Ayala 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
# Work Indexed citations
1 25
2 10
3 18
4 48
5 25
6 13
7 24
8 20
9 26
10 35
11 52
12 158
13 15
14 108
15 57
16 103
17 97
18 10
19 19
20 34

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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