Lilit Ayvazyan

3.3k citations
17 papers · 2.4k indexed · 3 hit papers · h-index 15

Lilit Ayvazyan

17 papers receiving 2.3k citations

Hit Papers

The Platelet-to-Lymphocyte Ratio as an ...3912011202620162021250500750

Peers

Lilit Ayvazyan
Comparison fields: 5 of 165
  • Internal Medicine 202
  • Health Informatics 44
  • Oncology 829
  • Rheumatology 394
  • Hematology 231
Replace Manoj M. Lalu with:
Manoj M. Lalu Canada
Irbaz Bin Riaz United States
Robert R. Cima United States
Marlen Yessirkepov Kazakhstan
Allan Wailoo United Kingdom
Olena Zimba Ukraine
Eugenio Santoro Italy
Beth Devine United States
Durga Prasanna Misra India
P. Kyzas United Kingdom
Lilit Ayvazyan relative to Manoj M. Lalu Canada Manoj M. Lalu's profile →
Citations per field
00.5×4.3×
Manoj M. Lalu · 1×
Citations per year

Countries citing papers authored by Lilit Ayvazyan

Since Specialization
Citations

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

Fields of papers citing papers by Lilit Ayvazyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 8 scholars most cited alongside Lilit Ayvazyan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lilit Ayvazyan Line = papers co-authored together Lilit Ayvazyan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20221
2
The Platelet-to-Lymphocyte Ratio as an Inflammatory Marker in Rheumatic Diseasesbreakdown →
2019391
3 201935
4 201561
5 201423
6 201449
7 201436
8 201336
9 201322
10 201359
11 201252
12 201263
13 201130
14
Mean Platelet Volume: A Link Between Thrombosis and Inflammation?breakdown →
2011917
15
Writing a narrative biomedical review: considerations for authors, peer reviewers, and editorsbreakdown →
2011583
16 201012
17 201043

About Lilit Ayvazyan

Lilit Ayvazyan is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and History and Philosophy of Science, having authored 17 papers that have together received 2.4k indexed citations. Recurring topics across this work include Academic Publishing and Open Access (4 papers), Inflammasome and immune disorders (4 papers), Meta-analysis and systematic reviews (3 papers), scientometrics and bibliometrics research (3 papers), Academic Writing and Publishing (2 papers), Pharmaceutical industry and healthcare (2 papers), Health and Medical Research Impacts (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Internal Medicine (202 citations), Health Informatics (44 citations) and Oncology (829 citations). Lilit Ayvazyan has collaborated with scholars based in United Kingdom, Armenia and Kazakhstan. Frequent co-authors include Armen Yuri Gasparyan, George D. Kitas, Dimitri P. Mikhailidis, Heather L. Blackmore, Marlen Yessirkepov, Giuseppe Cocco, Etheresia Pretorius and Arman Tsaturyan. Their work appears in journals such as Current Pharmaceutical Design, Expert Opinion on Drug Metabolism & Toxicology and Journal of Korean Medical Science.

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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