Daniel Teres

8.2k total citations
96 papers, 3.6k citations indexed

About

Daniel Teres is a scholar working on Epidemiology, Emergency Medicine and Surgery. According to data from OpenAlex, Daniel Teres has authored 96 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Epidemiology, 28 papers in Emergency Medicine and 17 papers in Surgery. Recurrent topics in Daniel Teres's work include Sepsis Diagnosis and Treatment (31 papers), Emergency and Acute Care Studies (20 papers) and Hemodynamic Monitoring and Therapy (13 papers). Daniel Teres is often cited by papers focused on Sepsis Diagnosis and Treatment (31 papers), Emergency and Acute Care Studies (20 papers) and Hemodynamic Monitoring and Therapy (13 papers). Daniel Teres collaborates with scholars based in United States, France and United Kingdom. Daniel Teres's co-authors include Stanley Lemeshow, Jill Spitz Avrunin, John Rapoport, Jay S. Steingrub, Harris Pastides, Thomas L. Higgins, Janelle Klar, Brian H. Nathanson, STANLEY LEMESHOW and Maureen Stark and has published in prestigious journals such as The Lancet, JAMA and Journal of Clinical Investigation.

In The Last Decade

Daniel Teres

92 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Teres United States 33 1.8k 1.0k 899 886 698 96 3.6k
P. G. Bastos United States 5 1.4k 0.8× 772 0.7× 602 0.7× 690 0.8× 520 0.7× 5 2.9k
Carl Sirio United States 23 2.3k 1.3× 1.4k 1.3× 914 1.0× 1.0k 1.1× 1.3k 1.9× 58 5.5k
Roslyn A. Stone United States 37 1.7k 1.0× 728 0.7× 1.4k 1.5× 639 0.7× 645 0.9× 126 6.0k
Neil A. Halpern United States 30 1.0k 0.6× 1.0k 1.0× 679 0.8× 686 0.8× 647 0.9× 123 3.7k
Donald B. Chalfin United States 19 1.2k 0.6× 1.2k 1.2× 553 0.6× 496 0.6× 1.6k 2.3× 55 3.9k
Peter M. Houck United States 24 2.1k 1.2× 527 0.5× 753 0.8× 981 1.1× 443 0.6× 45 4.3k
Joseph M. Civetta United States 32 902 0.5× 1.0k 1.0× 606 0.7× 1.3k 1.5× 828 1.2× 121 3.8k
Terry P. Clemmer United States 32 2.0k 1.1× 926 0.9× 460 0.5× 998 1.1× 1.3k 1.9× 82 5.4k
Maurizia Capuzzo Italy 26 1.2k 0.7× 655 0.6× 741 0.8× 746 0.8× 1.3k 1.8× 49 3.7k
Stephen Trzeciak United States 25 2.4k 1.4× 1.7k 1.6× 568 0.6× 1.3k 1.5× 902 1.3× 39 4.3k

Countries citing papers authored by Daniel Teres

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Teres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Teres

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Teres. A scholar is included among the top collaborators of Daniel Teres 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 Daniel Teres. Daniel Teres 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
1.
Nathanson, Brian H., Thomas L. Higgins, Maura Brennan, et al.. (2010). Do Elderly Patients Fare Well in the ICU?. CHEST Journal. 139(4). 825–831. 24 indexed citations
2.
Nathanson, Brian H., Thomas L. Higgins, Andrew A. Kramer, et al.. (2009). Subgroup mortality probability models: Are they necessary for specialized intensive care units?*. Critical Care Medicine. 37(8). 2375–2386. 13 indexed citations
3.
Higgins, Thomas L., Daniel Teres, Wayne S. Copes, et al.. (2007). Assessing contemporary intensive care unit outcome: An updated Mortality Probability Admission Model (MPM0-III)*. Critical Care Medicine. 35(3). 827–835. 243 indexed citations
4.
Nathanson, Brian H., Wayne S. Copes, Maureen Stark, et al.. (2005). MORTALITY PROBABILITY MODELS (MPM0-III) FOR SPECIALIZED PATIENT POPULATIONS. CHEST Journal. 128(4). 349S–349S. 2 indexed citations
5.
Higgins, Thomas L., Daniel Teres, Wayne S. Copes, et al.. (2005). UPDATED MORTALITY PROBABILITY MODEL (MPM -III). CHEST Journal. 128(4). 348S–348S. 16 indexed citations
6.
Teres, Daniel. (2004). The value and limits of severity adjusted mortality for ICU patients. Journal of Critical Care. 19(4). 257–263. 11 indexed citations
7.
Higgins, Thomas L., William T. McGee, Jay S. Steingrub, et al.. (2003). Early indicators of prolonged intensive care unit stay: Impact of illness severity, physician staffing, and pre–intensive care unit length of stay. Critical Care Medicine. 31(1). 45–51. 165 indexed citations
8.
Higgins, Thomas L., Michael J. Murray, Daniel H. Kett, et al.. (2000). Trace Element Homeostasis During Continuous Sedation With Propofol Containing EDTA Versus Other Sedatives in Critically Ill Patients. Intensive Care Medicine. 26(S3). S413–S421. 21 indexed citations
9.
Zaloga, Gary P., et al.. (2000). Cation Metabolism During Propofol Sedation With and Without EDTA in Patients With Impaired Renal Function. Intensive Care Medicine. 26(S3). S433–S442. 9 indexed citations
10.
Herr, Daniel, Kathleen Kelly, Jesse B. Hall, et al.. (2000). Safety and Efficacy of Propofol With EDTA When Used for Sedation of Surgical Intensive Care Unit Patients. Intensive Care Medicine. 26(S3). S452–S462. 25 indexed citations
11.
Strosberg, Martin A. & Daniel Teres. (1997). Gatekeeping in the intensive care unit. 6 indexed citations
12.
Rapoport, John, Daniel Teres, & Stanley Lemeshow. (1996). Resource Use Implications of Do Not Resuscitate Orders for Intensive Care Unit Patients. American Journal of Respiratory and Critical Care Medicine. 153(1). 185–190. 38 indexed citations
13.
Zhu, Bao‐Ping, Stanley Lemeshow, David W. Hosmer, et al.. (1996). Factors affecting the performance of the models in the Mortality Probability Model II system and strategies of customization. Critical Care Medicine. 24(1). 57–63. 115 indexed citations
14.
Rapoport, John, Daniel Teres, Philip Jacobs, et al.. (1995). A comparison of intensive care unit utilization in Alberta and western Massachusetts. Critical Care Medicine. 23(8). 1336–1346. 46 indexed citations
15.
Lemeshow, Stanley, Janelle Klar, & Daniel Teres. (1995). Outcome prediction for individual intensive care patients: Useful, misused, or abused?. Intensive Care Medicine. 21(9). 770–776. 116 indexed citations
16.
Teres, Daniel. (1993). Trends from the United States with end of life decisions in the intensive care unit. Intensive Care Medicine. 19(6). 316–322. 43 indexed citations
17.
Teres, Daniel. (1993). Civilian triage in the intensive care unit. Critical Care Medicine. 21(4). 598–606. 46 indexed citations
18.
Steingrub, Jay S., G Celoria, Maureen Vickers-Lahti, Daniel Teres, & William F. Bria. (1991). Therapeutic Impact of Pulmonary Artery Catheterization in a Medical/Surgical ICU. CHEST Journal. 99(6). 1451–1455. 71 indexed citations
19.
Rapoport, John, et al.. (1990). Explaining Variability of Cost Using a Severity-of-lllness Measure for ICU Patients. Medical Care. 28(4). 338–348. 65 indexed citations
20.
Teres, Daniel. (1989). Peer review, publication policy, and APACHE. Critical Care Medicine. 17(Supplement). S169–S172. 4 indexed citations

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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