David Escobar

447 citations
25 papers · 299 · h-index 8

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer Immunotherapy and Biomarkers 4
    • Cancer-related Molecular Pathways 2

David Escobar

22 papers receiving 296 citations

Peers

David Escobar
Comparison fields: 5 of 61
  • Global and Planetary Change 80
  • Paleontology 24
  • Rheumatology 50
  • Oral Surgery 24
  • Molecular Biology 158
Replace Chris Showell with:
Chris Showell United States
Jialiang S. Wang United States
Rodrigo Cuervo Mexico
Lacey Ellington United States
Akira Yukita Japan
Deborah Ferrari United States
Isabelle Guisle‐Marsollier France
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Oscar E. Ruiz United States
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Citations per field
00.5×10×15×18.3×
Chris Showell · 1×
Citations per year

Countries citing papers authored by David Escobar

Since Specialization
Citations

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

Fields of papers citing papers by David Escobar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Escobar, 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 Escobar Line = papers co-authored together David Escobar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012105
2 201537
3 201735
4 202031
5 202321
6 202413
7 20237
8 20227
9 20227
10 20226
11 20245
12 20205
13 20235
14 20214
15
Preclinical Development of EBI-005: a Potent Interleukin-1 (IL-1) Receptor-1 (R1) Blocker for Topical Ocular Administration was Safe in GLP Toxicology Studies and Active in a Mouse Model of Dry Eye Disease (DED)
20132
16 20232
17 20232
18 20241
19 20251
20 20081

About David Escobar

David Escobar is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Rheumatology and Surgery, having authored 25 papers that have together received 299 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Genetic factors in colorectal cancer (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related Molecular Pathways (2 papers), IgG4-Related and Inflammatory Diseases (2 papers), Ferroptosis and cancer prognosis (2 papers), Cellular Mechanics and Interactions (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Global and Planetary Change (80 citations), Paleontology (24 citations), Rheumatology (50 citations), Oral Surgery (24 citations) and Molecular Biology (158 citations). David Escobar has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Joel M. Stary, Ana Paula Vieira, Phillip A. Newmark, David J. Forsthoefel, Tao‐Lan Zhang, Ming‐Xiang Zou, Guohua Lv, Lingxiang Jiang, Guang‐Yu Yang and Noboru Ishiyama. Their work appears in journals such as Human Pathology, Scientific Reports, Pathobiology, Translational research and npj Precision Oncology.

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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