David T. Robles

1.5k citations
21 papers · 1.1k · h-index 14

Impact in

Papers in

David T. Robles

21 papers receiving 1.1k citations

Peers

David T. Robles
Comparison fields: 5 of 93
  • Dermatology 260
  • Endocrinology, Diabetes and Metabolism 367
  • Genetics 564
  • Rehabilitation 100
  • Surgery 460
Replace Ülker Gül with:
Ülker Gül Türkiye
Kenn C. Daniël United States
Pembegül Güneş Türkiye
Mathilde Versini France
L.G. Millard United Kingdom
Christian Veldman Germany
Robert Kaye United States
Pierre‐Yves Jeandel France
Nurhan Sutcliffe United Kingdom
Angeliki Cheva Greece
David T. Robles relative to Ülker Gül Türkiye Ülker Gül's profile →
Citations per field
00.5×8.5×
Ülker Gül · 1×
Citations per year

Countries citing papers authored by David T. Robles

Since Specialization
Citations

This map shows the geographic impact of David T. Robles'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 David T. Robles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Robles more than expected).

Fields of papers citing papers by David T. Robles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Robles. 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 David T. Robles. The network helps show where David T. Robles may publish in the future.

Co-authors

The 25 scholars most cited alongside David T. Robles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David T. Robles Line = papers co-authored together David T. Robles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000381
2 2007188
3 2007187
4 200250
5 200247
6 200244
7 200342
8 200628
9 200825
10 201021
11 200120
12 200819
13 200816
14 200515
15 20087
16 20057
17 20062
18 20062
19 20022
20
Neonatal lupus - eScholarship
20061

About David T. Robles

David T. Robles is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Rheumatology and Immunology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (9 papers), Pancreatic function and diabetes (5 papers), Diabetes Management and Research (5 papers), Immune Cell Function and Interaction (4 papers), Systemic Lupus Erythematosus Research (3 papers), Dermatologic Treatments and Research (2 papers), Urticaria and Related Conditions (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Dermatology (260 citations), Endocrinology, Diabetes and Metabolism (367 citations), Genetics (564 citations), Rehabilitation (100 citations) and Surgery (460 citations). David T. Robles has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Daniel Berg, George S. Eisenbarth, Marian Rewers, Liping Yu, Katalin Kelemen, Paramjit Kaur, Norio Abiru, Michelle Draznin, Erin Moore and Peter A. Gottlieb. Their work appears in journals such as Diabetes, Endocrinology and Metabolism Clinics of North America, Autoimmunity Reviews, Journal of Autoimmunity and Clinical Immunology.

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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