Deepak Haikerwal

810 total citations
8 papers, 555 citations indexed

About

Deepak Haikerwal is a scholar working on Cardiology and Cardiovascular Medicine, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Deepak Haikerwal has authored 8 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 2 papers in Clinical Psychology and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Deepak Haikerwal's work include Cardiac Health and Mental Health (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Deepak Haikerwal is often cited by papers focused on Cardiac Health and Mental Health (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). Deepak Haikerwal collaborates with scholars based in Australia, France and United States. Deepak Haikerwal's co-authors include David M. Kaye, Murray Esler, Gavin Lambert, Élisabeth Lambert, Tye Dawood, Markus P. Schlaich, Florentia Socratous, Celia Brenchley, David A. Barton and Ian B. Hickie and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Hypertension and Australian & New Zealand Journal of Psychiatry.

In The Last Decade

Deepak Haikerwal

8 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Haikerwal Australia 7 261 129 99 95 76 8 555
Celia Brenchley Australia 5 283 1.1× 148 1.1× 88 0.9× 75 0.8× 62 0.8× 8 581
Don Jefferys Australia 12 105 0.4× 189 1.5× 43 0.4× 148 1.6× 128 1.7× 17 505
Caroline Sévoz‐Couche France 16 361 1.4× 76 0.6× 21 0.2× 184 1.9× 79 1.0× 44 643
Cüneyt Demiralay Germany 13 60 0.2× 116 0.9× 80 0.8× 72 0.8× 41 0.5× 33 516
Yoshinobu Ishitobi Japan 16 54 0.2× 218 1.7× 92 0.9× 47 0.5× 74 1.0× 31 590
Taiga Ninomiya Japan 16 54 0.2× 216 1.7× 92 0.9× 42 0.4× 72 0.9× 29 576
Haruka Higuma Japan 14 46 0.2× 187 1.4× 78 0.8× 31 0.3× 58 0.8× 22 497
M.Michele Murburg United States 11 71 0.3× 254 2.0× 78 0.8× 55 0.6× 79 1.0× 17 610
Hiroaki Hanada Japan 11 38 0.1× 181 1.4× 78 0.8× 27 0.3× 65 0.9× 21 496
Bernard J. Vittone United States 11 69 0.3× 166 1.3× 82 0.8× 55 0.6× 87 1.1× 12 752

Countries citing papers authored by Deepak Haikerwal

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Haikerwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Haikerwal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Haikerwal. A scholar is included among the top collaborators of Deepak Haikerwal 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 Deepak Haikerwal. Deepak Haikerwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Haikerwal, Deepak, et al.. (2013). Spontaneous Omental Bleeding in the Setting of Dual Anti-platelet Therapy with Ticagrelor. Heart Lung and Circulation. 23(4). e115–e117. 7 indexed citations
2.
Barton, David A., Murray Esler, Tye Dawood, et al.. (2008). Elevated Brain Serotonin Turnover in Patients With Depression. Archives of General Psychiatry. 65(1). 38–38. 162 indexed citations
3.
Barton, David A., Tye Dawood, Élisabeth Lambert, et al.. (2007). Sympathetic activity in major depressive disorder: identifying those at increased cardiac risk?. Journal of Hypertension. 25(10). 2117–2124. 215 indexed citations
4.
Esler, Murray, Élisabeth Lambert, Marlies Alvarenga, et al.. (2007). Increased brain serotonin turnover in panic disorder patients in the absence of a panic attack: Reduction by a selective serotonin reuptake inhibitor. Stress. 10(3). 295–304. 41 indexed citations
5.
Dawood, Tye, Élisabeth Lambert, Dominique Laude, et al.. (2007). Specific Serotonin Reuptake Inhibition in Major Depressive Disorder Adversely Affects Novel Markers of Cardiac Risk. Australian & New Zealand Journal of Psychiatry. 41(1_suppl). A14–A14. 3 indexed citations
6.
Dawood, Tye, Élisabeth Lambert, Dominique Laude, et al.. (2007). Specific Serotonin Reuptake Inhibition in Major Depressive Disorder Adversely Affects Novel Markers of Cardiac Risk. Hypertension Research. 30(4). 285–293. 60 indexed citations
7.
Esler, Murray, Marlies Alvarenga, Ciaran Pier, et al.. (2006). The neuronal noradrenaline transporter, anxiety and cardiovascular disease. Journal of Psychopharmacology. 20(4_suppl). 60–66. 57 indexed citations
8.
Haikerwal, Deepak, Anthony M. Dart, Peter J. Little, & David M. Kaye. (1999). Identification of a Novel, Inhibitory Action of Amiodarone on Vesicular Monoamine Transport. Journal of Pharmacology and Experimental Therapeutics. 288(2). 834–837. 10 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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