L. Nelson Sanchez‐Pinto
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery top 10%
- Critical Care and Intensive Care Medicine top 2%
- Nephrology top 2%
- Co-authors
- Travis J. MaticsMatthew M. ChurpekYuan LuoLaura Ruth VenableJohn FahrenbachRobinder G. KhemaniMichael S. CarrollStuart L. Goldstein
- Topics
- Sepsis Diagnosis and Treatment (52 papers)Respiratory Support and Mechanisms (20 papers)Cardiac Arrest and Resuscitation (13 papers)
- Journals
- BioinformaticsPLoS ONEPEDIATRICS
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
L. Nelson Sanchez‐Pinto
84 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Epidemiology 789
- Pulmonary and Respiratory Medicine 316
- Surgery 299
- Critical Care and Intensive Care Medicine 265
- Nephrology 262
Countries citing papers authored by L. Nelson Sanchez‐Pinto
This map shows the geographic impact of L. Nelson Sanchez‐Pinto'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 L. Nelson Sanchez‐Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Nelson Sanchez‐Pinto more than expected).
Fields of papers citing papers by L. Nelson Sanchez‐Pinto
This network shows the impact of papers produced by L. Nelson Sanchez‐Pinto. 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 L. Nelson Sanchez‐Pinto. The network helps show where L. Nelson Sanchez‐Pinto may publish in the future.
Co-authorship network of co-authors of L. Nelson Sanchez‐Pinto
This figure shows the co-authorship network connecting the top 25 collaborators of L. Nelson Sanchez‐Pinto. A scholar is included among the top collaborators of L. Nelson Sanchez‐Pinto 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 L. Nelson Sanchez‐Pinto. L. Nelson Sanchez‐Pinto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 20 | |
| 15 | 20 | |
| 16 | 24 | |
| 17 | 67 | |
| 18 | 184 | |
| 19 | 66 | |
| 20 | Predicting Acute Kidney Injury in Critically Ill Children Using Electronic Health Record Data - A Comparison of Four Statistical Learning Models. | 1 |
About L. Nelson Sanchez‐Pinto
L. Nelson Sanchez‐Pinto is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine and Nephrology, having authored 95 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (52 papers), Respiratory Support and Mechanisms (20 papers) and Cardiac Arrest and Resuscitation (13 papers). The work is most often cited by research in Health Informatics (116 citations), Critical Care and Intensive Care Medicine (265 citations) and Nephrology (262 citations). L. Nelson Sanchez‐Pinto has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Travis J. Matics, Matthew M. Churpek, Yuan Luo, Laura Ruth Venable, John Fahrenbach, Robinder G. Khemani, Michael S. Carroll, Stuart L. Goldstein, James B. Schneider and Debra E. Weese‐Mayer. Their work appears in journals such as Bioinformatics, PLoS ONE and PEDIATRICS.
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.