Katherine Garlo

856 total citations
27 papers, 534 citations indexed

About

Katherine Garlo is a scholar working on Nephrology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Katherine Garlo has authored 27 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nephrology, 12 papers in Immunology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Katherine Garlo's work include Renal Diseases and Glomerulopathies (13 papers), Complement system in diseases (11 papers) and Adenosine and Purinergic Signaling (4 papers). Katherine Garlo is often cited by papers focused on Renal Diseases and Glomerulopathies (13 papers), Complement system in diseases (11 papers) and Adenosine and Purinergic Signaling (4 papers). Katherine Garlo collaborates with scholars based in United States, United Kingdom and Spain. Katherine Garlo's co-authors include John R. O’Leary, Terri R. Fried, Peter H. Van Ness, David M. Charytan, Thomas A. Mavrakanas, Oskar G. Jenni, Lameese D. Akacem, Mary A. Carskadon, Monique K. LeBourgeois and Kenneth P. Wright and has published in prestigious journals such as Blood, Stroke and Journal of the American Society of Nephrology.

In The Last Decade

Katherine Garlo

25 papers receiving 518 citations

Peers

Katherine Garlo
Comparison fields: 5 of 84
  • Public Health, Environmental and Occupational Health 104
  • Cardiology and Cardiovascular Medicine 103
  • Clinical Psychology 92
  • General Health Professions 83
  • Sociology and Political Science 83
Replace Joong-Myung Choi with:
Joong-Myung Choi South Korea
Lori M. Laffel United States
Tove Aminda Hanssen Norway
Carmen de Burgos‐Lunar Spain
Sally Wood United Kingdom
Bartosz Uchmanowicz Poland
Inbar Zucker Israel
Gabriela Spencer‐Bonilla United States
Mirey Karavetian Netherlands
Lynn Van Scoyoc United States
Joong-Myung Choi South Korea View profile →
Citations per field, relative to Katherine Garlo
Katherine Garlo · 1×
Citations per year, relative to Katherine Garlo
Katherine Garlo · 1×

Countries citing papers authored by Katherine Garlo

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Garlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine Garlo. 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 Katherine Garlo. The network helps show where Katherine Garlo may publish in the future.

Co-authorship network of co-authors of Katherine Garlo

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Garlo. A scholar is included among the top collaborators of Katherine Garlo 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 Katherine Garlo. Katherine Garlo 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 13
2 8
3 0
4 2
5 1
6 2
7 4
8 5
9 4
10 0
11 63
12 21
13 4
14 14
15 10
16 26
17
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1
18 21
19 2
20 240

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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