Haig Pakhchanian

562 total citations
52 papers, 312 citations indexed

About

Haig Pakhchanian is a scholar working on Oncology, Epidemiology and Dermatology. According to data from OpenAlex, Haig Pakhchanian has authored 52 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Epidemiology and 10 papers in Dermatology. Recurrent topics in Haig Pakhchanian's work include COVID-19 and healthcare impacts (10 papers), COVID-19 Clinical Research Studies (5 papers) and Data-Driven Disease Surveillance (5 papers). Haig Pakhchanian is often cited by papers focused on COVID-19 and healthcare impacts (10 papers), COVID-19 Clinical Research Studies (5 papers) and Data-Driven Disease Surveillance (5 papers). Haig Pakhchanian collaborates with scholars based in United States, Türkiye and India. Haig Pakhchanian's co-authors include Rahul Raiker, Sinan Kardeş, Chengappa Kavadichanda, Sakir Ahmed, Latika Gupta, Mine Karagülle, Mohammad Bilal, Shailendra Singh, Gregory F. Payne and William E. Bentley and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Journal of the American College of Cardiology.

In The Last Decade

Haig Pakhchanian

46 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haig Pakhchanian United States	9	89	61	60	58	37	52	312
Rahul Raiker United States	9	92 1.0×	63 1.0×	73 1.2×	59 1.0×	38 1.0×	52	302
Reuben J. Arasaratnam United States	7	203 2.3×	59 1.0×	52 0.9×	93 1.6×	25 0.7×	15	376
Patrick Whelan United States	10	90 1.0×	48 0.8×	38 0.6×	9 0.2×	45 1.2×	26	382
Ramie Fathy United States	10	109 1.2×	51 0.8×	99 1.6×	45 0.8×	81 2.2×	20	406
Wenjun Du China	9	172 1.9×	48 0.8×	92 1.5×	60 1.0×	37 1.0×	15	391
Marita Zimmermann United States	10	76 0.9×	29 0.5×	56 0.9×	10 0.2×	11 0.3×	25	289
Erik H Vogelzang Netherlands	8	109 1.2×	16 0.3×	38 0.6×	31 0.5×	37 1.0×	20	338
Eefje Jong Netherlands	9	269 3.0×	53 0.9×	129 2.1×	83 1.4×	63 1.7×	14	457
Shubhra Mishra India	10	250 2.8×	28 0.5×	107 1.8×	85 1.5×	118 3.2×	33	440
Thomas M. Beachkofsky United States	10	76 0.9×	14 0.2×	51 0.8×	12 0.2×	55 1.5×	26	374

Countries citing papers authored by Haig Pakhchanian

Since Specialization

Citations

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

Fields of papers citing papers by Haig Pakhchanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haig Pakhchanian

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pakhchanian, Haig, et al.. (2024). Top 50 Most Cited Articles in Transplant Dermatology: A Bibliometric Analysis. Dermatologic Surgery. 51(4). 365–369.

Wynne, Michael K., et al.. (2023). Patient Demand for Urologists in the United States: A Google Trends Analysis. Urology Practice. 10(2). 155–160.

Raiker, Rahul, et al.. (2022). COVID-19 Outcomes in Pediatric Patients With Atopic Dermatitis: A Multicenter Analysis. Dermatitis. 33(6S). S136–S138. 2 indexed citations

Pakhchanian, Haig, Hiba Khan, Rahul Raiker, et al.. (2022). COVID-19 outcomes in patients with Dermatomyositis: A registry-based cohort analysis. Seminars in Arthritis and Rheumatism. 56. 152034–152034. 8 indexed citations

Raiker, Rahul, et al.. (2022). COVID-19 Outcomes in Pediatric Patients With Atopic Dermatitis: A Multicenter Analysis.. PubMed. 33(6S). S136–S138. 2 indexed citations

Pakhchanian, Haig, et al.. (2022). 265 Evaluating the safety and effectiveness of the COVID-19 vaccination among pediatric atopic dermatitis patients. Journal of Investigative Dermatology. 142(8). S45–S45. 1 indexed citations

Raiker, Rahul, et al.. (2022). EVALUATING HYPERTENSION-RELATED CONTENT ON TIKTOK: A SOCIAL MEDIA ANALYSIS. Journal of the American College of Cardiology. 79(9). 1578–1578.

Raiker, Rahul, et al.. (2021). Associations between a Strabismus Diagnosis and Subsequent Mental Health Disorders in Children and Adolescents. Investigative Ophthalmology & Visual Science. 62(8). 74–74. 1 indexed citations

Raiker, Rahul, Haig Pakhchanian, Latika Gupta, et al.. (2021). Short term outcomes of COVID-19 in lupus: Propensity score matched analysis from a nationwide multi-centric research network. Journal of Autoimmunity. 125. 102730–102730. 17 indexed citations

10.

Pakhchanian, Haig, Rahul Raiker, & Vishal Patel. (2021). 342 Clinical outcomes in COVID-19 patients with Atopic dermatitis. Journal of Investigative Dermatology. 141(5). S60–S60. 1 indexed citations

11.

Mukherjee, Amrita, Haig Pakhchanian, Rahul Raiker, Shailendra Singh, & Arka Chatterjee. (2021). Burden of Thrombotic Events in Coronavirus Disease-19 (COVID-19) Patients and Effect on Outcomes (from a Multicenter Electronic Health Record Database). The American Journal of Cardiology. 147. 150–152. 4 indexed citations

12.

Raiker, Rahul, Haig Pakhchanian, Chengappa Kavadichanda, et al.. (2021). Axial spondyloarthritis may protect against poor outcomes in COVID-19: propensity score matched analysis of 9766 patients from a nationwide multi-centric research network. Clinical Rheumatology. 41(3). 721–730. 6 indexed citations

13.

Raiker, Rahul, Haig Pakhchanian, & Vishal Patel. (2021). 254 COVID-19 related outcomes in psoriasis and psoriasis arthritis patients. Journal of Investigative Dermatology. 141(5). S45–S45. 4 indexed citations

14.

Pakhchanian, Haig, et al.. (2021). Google Trends Data of Radiologists Who Accept Medicare: A Potential Tool for Predicting State Demand. Current Problems in Diagnostic Radiology. 51(1). 46–50. 3 indexed citations

15.

Pakhchanian, Haig, Rahul Raiker, Sinan Kardeş, et al.. (2021). Impact of COVID-19 on interest in hepato-pancreato-biliary diseases. Environmental Science and Pollution Research. 29(4). 5771–5776. 3 indexed citations

16.

Gupta, Rishabh, et al.. (2021). Public Interest in Refractive Diseases and Treatments During the COVID-19 Pandemic: A Google Trends Analysis. Cureus. 13(8). e17207–e17207. 4 indexed citations

17.

Kardeş, Sinan, et al.. (2020). Public interest in rheumatic diseases and rheumatologist in the United States during the COVID-19 pandemic: evidence from Google Trends. Rheumatology International. 41(2). 329–334. 29 indexed citations

18.

Pakhchanian, Haig, Rahul Raiker, & Craig E. Geist. (2020). Readability Analysis of Dacryocystorhinostomy Online Patient Information. Investigative Ophthalmology & Visual Science. 61(7). 2941–2941. 1 indexed citations

19.

Kardeş, Sinan, et al.. (2020). Population-level interest in anti-rheumatic drugs in the COVID-19 era: insights from Google Trends. Clinical Rheumatology. 40(5). 2047–2055. 18 indexed citations

20.

Liu, Yi, et al.. (2016). A Facile Two-Step Enzymatic Approach for Conjugating Proteins to Polysaccharide Chitosan at an Electrode Interface. Cellular and Molecular Bioengineering. 10(1). 134–142. 12 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.

Explore authors with similar magnitude of impact