Daniel A. Haas

3.8k total citations
69 papers, 2.8k citations indexed

About

Daniel A. Haas is a scholar working on Anesthesiology and Pain Medicine, Oral Surgery and Surgery. According to data from OpenAlex, Daniel A. Haas has authored 69 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Anesthesiology and Pain Medicine, 29 papers in Oral Surgery and 15 papers in Surgery. Recurrent topics in Daniel A. Haas's work include Dental Anxiety and Anesthesia Techniques (29 papers), Anesthesia and Sedative Agents (25 papers) and Anesthesia and Pain Management (13 papers). Daniel A. Haas is often cited by papers focused on Dental Anxiety and Anesthesia Techniques (29 papers), Anesthesia and Sedative Agents (25 papers) and Anesthesia and Pain Management (13 papers). Daniel A. Haas collaborates with scholars based in Canada, United States and Japan. Daniel A. Haas's co-authors include Susan R. George, David G. Harper, Diana Lennon, Aviv Ouanounou, Herenia P. Lawrence, Marcel Goldberg, Basile Michaelidis, Manfred K. Grieshaber, David Locker and Howard C. Tenenbaum and has published in prestigious journals such as Brain Research, Neuroscience and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Daniel A. Haas

68 papers receiving 2.6k 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 A. Haas Canada 31 1.3k 890 690 325 266 69 2.8k
Newton C. Gordon United States 28 235 0.2× 556 0.6× 633 0.9× 1.4k 4.4× 329 1.2× 49 3.0k
Arjen J. van Wijk Netherlands 29 1.1k 0.9× 320 0.4× 170 0.2× 186 0.6× 224 0.8× 87 2.4k
Alexander Schnabel Germany 26 81 0.1× 997 1.1× 1.8k 2.6× 203 0.6× 315 1.2× 76 2.9k
John A. Yagiela United States 25 690 0.6× 506 0.6× 468 0.7× 173 0.5× 130 0.5× 63 1.7k
Steven M. Green United States 34 158 0.1× 2.8k 3.1× 831 1.2× 170 0.5× 826 3.1× 83 4.7k
Carl E. Rosow United States 33 77 0.1× 3.5k 3.9× 1.7k 2.5× 517 1.6× 237 0.9× 89 5.2k
Rudolf Likar Austria 37 116 0.1× 1.8k 2.0× 1.5k 2.2× 1.4k 4.2× 597 2.2× 194 4.6k
B. Hoggart United Kingdom 10 128 0.1× 373 0.4× 817 1.2× 535 1.6× 311 1.2× 14 3.0k
Richard C. Chapman United States 26 113 0.1× 386 0.4× 270 0.4× 767 2.4× 364 1.4× 47 2.1k
Takahisa Goto Japan 29 60 0.0× 1.5k 1.6× 792 1.1× 361 1.1× 164 0.6× 229 3.2k

Countries citing papers authored by Daniel A. Haas

Since Specialization
Citations

This map shows the geographic impact of Daniel A. Haas'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. Haas 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. Haas more than expected).

Fields of papers citing papers by Daniel A. Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Haas. A scholar is included among the top collaborators of Daniel A. Haas 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 A. Haas. Daniel A. Haas 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.
Ouanounou, Aviv & Daniel A. Haas. (2015). PHARMACOTHERAPY FOR THE ELDERLY DENTAL PATIENT.. PubMed. 80. f18–f18. 7 indexed citations
2.
Wong, Michelle, et al.. (2015). Postoperative Pain in Children After Dentistry Under General Anesthesia. Anesthesia Progress. 62(4). 140–152. 16 indexed citations
3.
Haas, Daniel A.. (2010). Preparing Dental Office Staff Members for Emergencies. The Journal of the American Dental Association. 141. S8–S13. 29 indexed citations
4.
Haas, Daniel A.. (2006). Management of Medical Emergencies in the Dental Office: Conditions in Each Country, the Extent of Treatment by the Dentist. Anesthesia Progress. 53(1). 20–24. 77 indexed citations
5.
Leake, James L., et al.. (2006). Comparison of Remifentanil With Fentanyl for Deep Sedation in Oral Surgery. Journal of Oral and Maxillofacial Surgery. 64(2). 215–222. 15 indexed citations
6.
Michaelidis, Basile, Daniel A. Haas, & Manfred K. Grieshaber. (2005). Extracellular and Intracellular Acid‐Base Status with Regard to the Energy Metabolism in the OysterCrassostrea gigasduring Exposure to Air. Physiological and Biochemical Zoology. 78(3). 373–383. 86 indexed citations
7.
Haas, Daniel A., et al.. (2005). Need and Demand for Sedation or General Anesthesia in Dentistry: A National Survey of the Canadian Population. Anesthesia Progress. 52(1). 3–11. 88 indexed citations
8.
Haas, Daniel A.. (2002). Emergency drugs. Dental Clinics of North America. 46(4). 815–830. 10 indexed citations
9.
Wong, Jason K., Daniel A. Haas, & James W. Hu. (2001). Local Anesthesia Does Not Block Mustard-Oil-Induced Temporomandibular Inflammation. Anesthesia & Analgesia. 92(4). 1035–1040. 12 indexed citations
10.
Leake, James L., et al.. (1999). The occupational risk to dental anesthesiologists of acquiring 3 bloodborne pathogens.. PubMed. 46(2). 63–70. 6 indexed citations
11.
Haas, Daniel A.. (1999). ADVERSE DRUG INTERACTIONS IN DENTAL PRACTICE. The Journal of the American Dental Association. 130(3). 397–407. 49 indexed citations
12.
Moore, Paul A., Tommy W. Gage, Elliot V. Hersh, John A. Yagiela, & Daniel A. Haas. (1999). ADVERSE DRUG INTERACTIONS IN DENTAL PRACTICE. The Journal of the American Dental Association. 130(1). 47–54. 35 indexed citations
13.
Haas, Daniel A.. (1997). Local and systemic therapeutics for the control of endodontic pain.. PubMed. 90(4). 73–6. 6 indexed citations
14.
Grad, Helen, et al.. (1997). The efficacy of non-opioid analgesics for postoperative dental pain: a meta-analysis.. PubMed. 17(1). 119–20. 35 indexed citations
15.
Haas, Daniel A., et al.. (1997). Mortality incidence in outpatient anesthesia for dentistry in Ontario. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 83(6). 646–651. 41 indexed citations
16.
Haas, Daniel A., et al.. (1992). Development of an orofacial model of acute inflammation in the rat. Archives of Oral Biology. 37(5). 417–422. 82 indexed citations
17.
Haas, Daniel A., W. C. Sturtridge, & Susan R. George. (1990). Differential alpha-1 and alpha-2 adrenergic effects on hypothalamic corticotropin-releasing factor and plasma adrenocorticotropin. Neuroscience. 38(3). 693–701. 4 indexed citations
18.
Haas, Daniel A. & Susan R. George. (1988). Effect of dopaminergic and α-adrenergic modulation on corticotropin-releasing factor immunoreactivity in rat hypothalamus. Canadian Journal of Physiology and Pharmacology. 66(6). 754–761. 7 indexed citations
19.
Haas, Daniel A. & Susan R. George. (1987). Neuropeptide y administration acutely increases hypothalamic corticotropin-releasing factor immunoreactivity: Lack of effect in other rat brain regions. Life Sciences. 41(25). 2725–2731. 108 indexed citations
20.
Haas, Daniel A., Bjug Borgundvaag, W. C. Sturtridge, & Susan R. George. (1987). hypothalamic corticotropin-releasing factor immunoreactivity is reduced during induction of pituitary tumors by chronic estrogen treatment. Life Sciences. 41(18). 2101–2106. 5 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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