Florian Moik

3.3k total citations · 3 hit papers
66 papers, 2.0k citations indexed

About

Florian Moik is a scholar working on Internal Medicine, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Florian Moik has authored 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Internal Medicine, 26 papers in Oncology and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Florian Moik's work include Venous Thromboembolism Diagnosis and Management (38 papers), Inflammatory Biomarkers in Disease Prognosis (13 papers) and Central Venous Catheters and Hemodialysis (11 papers). Florian Moik is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (38 papers), Inflammatory Biomarkers in Disease Prognosis (13 papers) and Central Venous Catheters and Hemodialysis (11 papers). Florian Moik collaborates with scholars based in Austria, Russia and United States. Florian Moik's co-authors include Cihan Ay, Ingrid Pabinger, Stephan Nopp, Bernd Jilma, Nick van Es, Harry R. Büller, Erzsébet Horváth–Puhó, Henrik Toft Sørensen, Frits I. Mulder and Lars Pedersen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Florian Moik

60 papers receiving 2.0k citations

Hit Papers

Venous thromboembolism in... 2020 2026 2022 2024 2020 2022 2022 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Florian Moik 1.2k 659 585 270 267 66 2.0k
Zora Marjanovic 683 0.6× 501 0.8× 378 0.6× 297 1.1× 475 1.8× 79 2.3k
Galia Spectre 437 0.4× 464 0.7× 176 0.3× 142 0.5× 265 1.0× 85 1.3k
Javier Trujillo‐Santos 1.6k 1.3× 1.1k 1.7× 251 0.4× 153 0.6× 270 1.0× 68 2.1k
P. Debourdeau 906 0.8× 600 0.9× 238 0.4× 250 0.9× 181 0.7× 95 1.5k
Fionnuala Ní Áinle 673 0.6× 453 0.7× 148 0.3× 195 0.7× 698 2.6× 120 1.8k
Avi Leader 321 0.3× 357 0.5× 365 0.6× 126 0.5× 336 1.3× 89 1.2k
Theodore Wun 1.4k 1.2× 865 1.3× 308 0.5× 210 0.8× 562 2.1× 42 2.4k
Brian R. Branchford 765 0.6× 284 0.4× 83 0.1× 151 0.6× 899 3.4× 69 1.5k
Gilles Pernod 1.6k 1.3× 1.4k 2.2× 71 0.1× 127 0.5× 652 2.4× 139 2.9k
Vilmarie Rodriguez 201 0.2× 113 0.2× 221 0.4× 178 0.7× 526 2.0× 124 1.4k

Countries citing papers authored by Florian Moik

Since Specialization
Citations

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

Fields of papers citing papers by Florian Moik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Moik

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Moik. A scholar is included among the top collaborators of Florian Moik 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 Florian Moik. Florian Moik 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.
Moik, Florian, Erzsébet Horváth–Puhó, Cihan Ay, et al.. (2025). Arterial and venous thromboembolic events in patients with cancer treated with targeted therapies: a population-based cohort study. EClinicalMedicine. 87. 103440–103440.
3.
Nopp, Stephan, Florian Moik, Angelika M. Starzer, et al.. (2025). The Vienna CATScore for predicting cancer-associated venous thromboembolism: an external validation across multiple time points. ESMO Open. 10(2). 104130–104130. 2 indexed citations
4.
Nopp, Stephan, Florian Moik, Daniel Steiner, et al.. (2025). Growth Differentiation Factor-15 Predicts Major Bleeding in Cancer Patients. JACC CardioOncology. 7(2). 141–152.
5.
Verso, Melina, et al.. (2024). Targeted anti-cancer agents and risk of venous thromboembolism. Haematologica. 109(12). 3868–3878. 2 indexed citations
7.
Moik, Florian, Daniel Steiner, Angelika M. Starzer, et al.. (2024). Bleeding events in patients with cancer: incidence, risk factors, and impact on prognosis in a prospective cohort study. Blood. 144(22). 2349–2359. 12 indexed citations
8.
Moik, Florian, et al.. (2024). Update on Thrombosis Risk in Patients with Cancer: Focus on Novel Anticancer Immunotherapies. Hämostaseologie. 44(1). 40–48. 11 indexed citations
9.
Moik, Florian & Cihan Ay. (2024). Treatment of VTE in the thrombocytopenic cancer patient. Hematology. 2024(1). 259–269.
10.
Nopp, Stephan, Florian Moik, Simon Kraler, et al.. (2023). Growth differentiation factor-15 and prediction of cancer-associated thrombosis and mortality: a prospective cohort study. Journal of Thrombosis and Haemostasis. 21(9). 2461–2472. 4 indexed citations
11.
Moik, Florian, J. Thaler, Silvia Koder, et al.. (2023). Tissue Factor Pathway Inhibitor is associated with risk of venous thromboembolism and all-cause mortality in patients with cancer. Hämostaseologie. 43(S 01). S23–S23. 1 indexed citations
12.
Moik, Florian, Daniel Steiner, Anna S. Berghoff, et al.. (2023). PB0919 High Rates of Bleeding in Unselected Patients with Cancer: Results from a Prospective Cohort Study. Research and Practice in Thrombosis and Haemostasis. 7. 101768–101768. 1 indexed citations
13.
Königsbrügge, Oliver, et al.. (2023). Pharmacokinetic-guided versus standard prophylaxis in hemophilia: a systematic review and meta-analysis. Journal of Thrombosis and Haemostasis. 21(12). 3432–3449. 1 indexed citations
14.
Nopp, Stephan, Florian Moik, Frederikus A. Klok, et al.. (2022). Outpatient Pulmonary Rehabilitation in Patients with Long COVID Improves Exercise Capacity, Functional Status, Dyspnea, Fatigue, and Quality of Life. Respiration. 101(6). 593–601. 156 indexed citations breakdown →
15.
Moik, Florian, et al.. (2022). ABO blood group type and risk of venous thromboembolism in patients with cancer. Blood Advances. 6(24). 6274–6281. 22 indexed citations
16.
Königsbrügge, Oliver, Stephan Nopp, Florian Moik, et al.. (2022). Antithrombin Activity and Association with Risk of Thrombosis and Mortality in Patients with Cancer. International Journal of Molecular Sciences. 23(24). 15770–15770. 2 indexed citations
17.
Moik, Florian & Cihan Ay. (2022). Venous and arterial thromboembolism in patients with cancer treated with targeted anti-cancer therapies. Thrombosis Research. 213. S58–S65. 22 indexed citations
18.
Nopp, Stephan, Florian Moik, Bernd Jilma, Ingrid Pabinger, & Cihan Ay. (2020). Risk of venous thromboembolism in patients with COVID‐19: A systematic review and meta‐analysis. Research and Practice in Thrombosis and Haemostasis. 4(7). 1178–1191. 286 indexed citations
19.
Nopp, Stephan, Frederikus A. Klok, Florian Moik, et al.. (2020). Outpatient Pulmonary Rehabilitation in Patients with Persisting Symptoms after Pulmonary Embolism. Journal of Clinical Medicine. 9(6). 1811–1811. 30 indexed citations
20.
Mulder, Frits I., Erzsébet Horváth–Puhó, Nick van Es, et al.. (2020). Venous thromboembolism in cancer patients: a population-based cohort study. Blood. 137(14). 1959–1969. 399 indexed citations breakdown →

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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