Daniel A. Escobar

410 citations
11 papers · 344 · h-index 7

Impact in

  • Nephrology top 10%
    • Acute Kidney Injury Research
    • Sepsis Diagnosis and Treatment
    • Autophagy in Disease and Therapy

Papers in

Daniel A. Escobar

11 papers receiving 341 citations

Peers

Daniel A. Escobar
Comparison fields: 5 of 57
  • Nephrology 77
  • Epidemiology 125
  • Critical Care and Intensive Care Medicine 12
  • Biochemistry 9
  • Immunology 22
Replace Hongbin Hu with:
Hongbin Hu China
Benjamin C. Kautza United States
David Coquerel France
Toshiro Fujita Japan
Huan-zhi Han China
Takao Matsuoka Japan
Franck Phan France
Odile Mansoor France
Daniel A. Escobar relative to Hongbin Hu China Hongbin Hu's profile →
Citations per field
00.5×1.5×2×2.3×
Hongbin Hu · 1×
Citations per year

Countries citing papers authored by Daniel A. Escobar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Escobar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201397
2 201496
3 201557
4 201328
5 201423
6 201515
7 201514
8 20156
9 20215
10 20152
11 20121

About Daniel A. Escobar

Daniel A. Escobar is a scholar working on Critical Care and Intensive Care Medicine, Nephrology, Epidemiology, Health and Obstetrics and Gynecology, having authored 11 papers that have together received 344 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Acute Kidney Injury Research (2 papers), Cardiac Ischemia and Reperfusion (1 paper), Maternal and Perinatal Health Interventions (1 paper), Reproductive Health and Contraception (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Nephrology (77 citations), Epidemiology (125 citations), Critical Care and Intensive Care Medicine (12 citations), Biochemistry (9 citations) and Immunology (22 citations). Daniel A. Escobar has collaborated with scholars based in United States, Norway and Colombia. Frequent co-authors include Brian Scott Zuckerbraun, Patricia Loughran, Matthew Randall Rosengart, Benjamin C. Kautza, Jason A. Luciano, Paul K. Waltz, Gina M. Howell, Richard D. Collage, Sophie S. Darwiche and Timothy R. Billiar. Their work appears in journals such as PLoS ONE, Journal of Surgical Research, Antioxidants and Redox Signaling, Nitric Oxide and Critical Care.

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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