Davit Manukyan

3.8k total citations · 1 hit paper
17 papers, 1.6k citations indexed

About

Davit Manukyan is a scholar working on Hematology, Rheumatology and Immunology. According to data from OpenAlex, Davit Manukyan has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 7 papers in Rheumatology and 7 papers in Immunology. Recurrent topics in Davit Manukyan's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Systemic Lupus Erythematosus Research (6 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). Davit Manukyan is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Systemic Lupus Erythematosus Research (6 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). Davit Manukyan collaborates with scholars based in Germany, United States and Czechia. Davit Manukyan's co-authors include Bernd Engelmann, Steffen Maßberg, Christoph Reinhardt, Kiril Bidzhekov, Ildiko Konrad, Michael Lorenz, Marie‐Luise von Bruehl, Stefan Holdenrieder, Klaus T. Preissner and Siegmund Braun and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Davit Manukyan

16 papers receiving 1.6k citations

Hit Papers

Reciprocal coupling of co... 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davit Manukyan Germany 10 723 470 360 256 242 17 1.6k
Kohshi Ohishi Japan 22 571 0.8× 663 1.4× 525 1.5× 96 0.4× 174 0.7× 103 1.9k
Gerard R. Majeau United States 18 1.4k 2.0× 668 1.4× 510 1.4× 143 0.6× 220 0.9× 18 2.8k
Grace M. Thomas United States 12 970 1.3× 475 1.0× 519 1.4× 67 0.3× 265 1.1× 24 1.8k
A.S. Savchenko United States 9 1.4k 1.9× 334 0.7× 529 1.5× 83 0.3× 315 1.3× 12 1.9k
Anne Marfaing‐Koka France 19 538 0.7× 313 0.7× 182 0.5× 146 0.6× 528 2.2× 34 1.7k
Nathalie Satta Switzerland 20 562 0.8× 363 0.8× 405 1.1× 239 0.9× 93 0.4× 36 1.3k
Laura L. Swystun Canada 20 659 0.9× 815 1.7× 454 1.3× 40 0.2× 207 0.9× 47 2.0k
Waltraud C. Schrottmaier Austria 19 493 0.7× 396 0.8× 533 1.5× 50 0.2× 201 0.8× 47 1.8k
Alaa Ahmed United States 16 365 0.5× 347 0.7× 105 0.3× 272 1.1× 247 1.0× 26 1.2k
Omri Snir Norway 20 741 1.0× 167 0.4× 227 0.6× 495 1.9× 66 0.3× 52 1.6k

Countries citing papers authored by Davit Manukyan

Since Specialization
Citations

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

Fields of papers citing papers by Davit Manukyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davit Manukyan

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

All Works

17 of 17 papers shown
1.
Manukyan, Davit, et al.. (2019). Immune cell pathology in rabbit hemorrhagic disease. Veterinary World. 12(8). 1332–1340. 15 indexed citations
2.
Kiouptsi, Klytaimnistra, Alexandra Grill, Amrit Mann, et al.. (2017). Mice deficient in the anti-haemophilic coagulation factor VIII show increased von Willebrand factor plasma levels. PLoS ONE. 12(8). e0183590–e0183590. 9 indexed citations
3.
Lackner, Karl J., Davit Manukyan, & Nadine Müller‐Calleja. (2017). Endosomal Redox Signaling in the Antiphospholipid Syndrome. Current Rheumatology Reports. 19(4). 20–20. 8 indexed citations
4.
Manukyan, Davit, Nadine Müller‐Calleja, & Karl J. Lackner. (2016). Pathophysiological insights into the antiphospholipid syndrome. Hämostaseologie. 37(3). 202–207. 3 indexed citations
5.
Manukyan, Davit, Nadine Müller‐Calleja, Sven Jäckel, et al.. (2016). Cofactor‐independent human antiphospholipid antibodies induce venous thrombosis in mice. Journal of Thrombosis and Haemostasis. 14(5). 1011–1020. 41 indexed citations
6.
Müller‐Calleja, Nadine, Heidi Rossmann, Christian Müller, et al.. (2016). Antiphospholipid antibodies in a large population-based cohort: genome-wide associations and effects on monocyte gene expression. Thrombosis and Haemostasis. 116(7). 115–123. 9 indexed citations
7.
Manukyan, Davit, Heidi Rossmann, Andreas Schulz, et al.. (2016). Distribution of antiphospholipid antibodies in a large population-based German cohort. Clinical Chemistry and Laboratory Medicine (CCLM). 54(10). 1663–1670. 22 indexed citations
8.
Müller‐Calleja, Nadine, Davit Manukyan, Wolfram Ruf, & Karl J. Lackner. (2016). Mechanism of Action of Hydroxychloroquine in the Antiphospholipid Syndrome. Blood. 128(22). 5023–5023. 3 indexed citations
9.
Müller‐Calleja, Nadine, Davit Manukyan, Antje Canisius, Dennis Strand, & Karl J. Lackner. (2016). Hydroxychloroquine inhibits proinflammatory signalling pathways by targeting endosomal NADPH oxidase. Annals of the Rheumatic Diseases. 76(5). 891–897. 83 indexed citations
10.
Reifart, Jörg, Davit Manukyan, Doris Mayr, et al.. (2014). Targeting Platelet Migration in the Postischemic Liver by Blocking Protease-Activated Receptor 4. Transplantation. 97(2). 154–160. 18 indexed citations
11.
Holdenrieder, Stefan, Frank T. Kolligs, Jan Braess, Davit Manukyan, & P Stieber. (2012). Nature and dynamics of nucleosome release from neoplastic and non-neoplastic cells.. PubMed. 32(5). 2179–83. 7 indexed citations
12.
Bruehl, Marie‐Luise von, Alexander Steinhart, Sue Chandraratne, et al.. (2011). Abstract 18175: Interaction of Platelets, Leukocytes and Released Neutrophil Extracellular Traps (NETs) Promote Deep Vein Thrombosis in vivo. Circulation. 124(suppl_21).
13.
Maßberg, Steffen, Marie‐Luise von Bruehl, Davit Manukyan, et al.. (2010). Reciprocal coupling of coagulation and innate immunity via neutrophil serine proteases. Nature Medicine. 16(8). 887–896. 926 indexed citations breakdown →
14.
Manukyan, Davit, Marie‐Luise von Bruehl, Steffen Maßberg, & Bernd Engelmann. (2008). Protein disulfide isomerase as a trigger for tissue factor-dependent fibrin generation. Thrombosis Research. 122. S19–S22. 24 indexed citations
15.
Reinhardt, Christoph, Davit Manukyan, Michael Lorenz, et al.. (2008). Protein disulfide isomerase acts as an injury response signal that enhances fibrin generation via tissue factor activation. Journal of Clinical Investigation. 118(3). 1110–22. 259 indexed citations
16.
Bruehl, Marie‐Luise von, Ildiko Konrad, Michael Lorenz, et al.. (2007). Abstract 806: Protein Disulfide Isomerase (PDI) signals Tissue Factor (TF)-dependent Fibrin formation in vivo. Circulation. 116(suppl_16). 1 indexed citations
17.
Morgenstern, Eberhard, Susan L. Cuvelier, Davit Manukyan, et al.. (2006). Eosinophils are a major intravascular location for tissue factor storage and exposure. Blood. 109(3). 995–1002. 186 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

Rankless by CCL
2026