Markus Heckmann

902 total citations
37 papers, 479 citations indexed

About

Markus Heckmann is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Markus Heckmann has authored 37 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 11 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Markus Heckmann's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Chemotherapy-induced cardiotoxicity and mitigation (6 papers) and Virus-based gene therapy research (4 papers). Markus Heckmann is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Chemotherapy-induced cardiotoxicity and mitigation (6 papers) and Virus-based gene therapy research (4 papers). Markus Heckmann collaborates with scholars based in Germany, United States and France. Markus Heckmann's co-authors include Hugo A. Katus, Lorenz Lehmann, Daniel Finke, Florian Leuschner, Uwe Haberkorn, Oliver J. Müller, Norbert Frey, Esther Herpel, Lisa Tilemann and Shirin Doroudgar and has published in prestigious journals such as PLoS ONE, Journal of Allergy and Clinical Immunology and Cardiovascular Research.

In The Last Decade

Markus Heckmann

30 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Heckmann Germany 12 217 215 118 107 76 37 479
Eleanor Hilliard United States 12 114 0.5× 106 0.5× 356 3.0× 88 0.8× 29 0.4× 18 563
Gang Cai China 15 50 0.2× 183 0.9× 105 0.9× 70 0.7× 91 1.2× 47 524
Lukas Pawig Netherlands 6 62 0.3× 194 0.9× 159 1.3× 55 0.5× 34 0.4× 6 485
Alessandro Ciucci Italy 8 81 0.4× 105 0.5× 198 1.7× 49 0.5× 22 0.3× 8 348
Alireza Ebrahimnejad Germany 9 68 0.3× 141 0.7× 177 1.5× 24 0.2× 143 1.9× 9 452
Sherry Bullens United States 10 81 0.4× 99 0.5× 275 2.3× 48 0.4× 71 0.9× 13 578
Sascha C. Hughan Australia 11 187 0.9× 36 0.2× 136 1.2× 132 1.2× 33 0.4× 11 747
Weihong Ding China 13 45 0.2× 211 1.0× 266 2.3× 164 1.5× 20 0.3× 27 629
Rob C. M. de Jong Netherlands 11 46 0.2× 149 0.7× 287 2.4× 63 0.6× 31 0.4× 22 583
Sung Wook Seo South Korea 15 28 0.1× 119 0.6× 203 1.7× 73 0.7× 34 0.4× 28 445

Countries citing papers authored by Markus Heckmann

Since Specialization
Citations

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

Fields of papers citing papers by Markus Heckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Heckmann

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Heckmann. A scholar is included among the top collaborators of Markus Heckmann 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 Markus Heckmann. Markus Heckmann 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.
2.
Betschel, Stephen, Teresa Caballero, Douglas H. Jones, et al.. (2024). The complexities of decision-making associated with on-demand treatment of hereditary angioedema (HAE) attacks. Allergy Asthma and Clinical Immunology. 20(1). 43–43. 5 indexed citations
3.
4.
Lumry, William R., Anete Sevciovic Grumach, Stephen Betschel, et al.. (2024). Management of hereditary angioedema attacks by patients on long-term prophylaxis versus on-demand therapy only. Allergy and Asthma Proceedings. 46(1). 32–37. 3 indexed citations
5.
Radojicic, Cristine, et al.. (2024). PATIENT-REPORTED ANXIETY IMPACTS UTILIZATION OF INJECTABLE ON-DEMAND TREATMENT OF HEREDITARY ANGIOEDEMA ATTACKS. Annals of Allergy Asthma & Immunology. 133(6). S29–S29.
6.
Radojicic, Cristine, et al.. (2023). Patient Perspectives On Early Use Of On-demand Treatment For Hereditary Angioedema (HAE) Attacks to Reduce Severity and Duration.. Journal of Allergy and Clinical Immunology. 151(2). AB143–AB143. 2 indexed citations
7.
Finke, Daniel, Markus Heckmann, Hauke Hund, et al.. (2023). Cardiological Parameters Predict Mortality and Cardiotoxicity in Oncological Patients. ESC Heart Failure. 11(1). 366–377. 6 indexed citations
8.
Geis, Nicolas A., et al.. (2022). One-Year Results Following PASCAL-Based or MitraClip-Based Mitral Valve Transcatheter Edge-to-Edge Repair. ESC Heart Failure. 9(2). 853–865. 13 indexed citations
9.
Remes, Anca, Jakob Körbelin, Caroline Arnold, et al.. (2022). Adeno-Associated Virus-Mediated Gene Transfer of Inducible Nitric Oxide Synthase to an Animal Model of Pulmonary Hypertension. Human Gene Therapy. 33(17-18). 959–967. 5 indexed citations
10.
Finke, Daniel, Markus Heckmann, Hauke Hund, et al.. (2021). High-Sensitivity Cardiac Troponin T Determines All-Cause Mortality in Cancer Patients: A Single-Centre Cohort Study. ESC Heart Failure. 8(5). 3709–3719. 20 indexed citations
11.
Finke, Daniel, Markus Heckmann, Norbert Frey, & Lorenz Lehmann. (2021). Cancer—A Major Cardiac Comorbidity With Implications on Cardiovascular Metabolism. Frontiers in Physiology. 12. 729713–729713. 25 indexed citations
12.
Finke, Daniel, Markus Heckmann, Esther Herpel, et al.. (2021). Early Detection of Checkpoint Inhibitor-Associated Myocarditis Using 68Ga-FAPI PET/CT. Frontiers in Cardiovascular Medicine. 8. 614997–614997. 65 indexed citations
13.
Heckmann, Markus, Kleopatra Rapti, Dorothea Schultheis, et al.. (2020). AAV-mediated cardiac gene transfer of wild-type desmin in mouse models for recessive desminopathies. Gene Therapy. 27(10-11). 516–524. 9 indexed citations
14.
Heckmann, Markus, Daniel Finke, Markus S. Anker, et al.. (2019). Evidence for a Cardiac Metabolic Switch in Patients with Hodgkin's Lymphoma. ESC Heart Failure. 6(4). 824–829. 13 indexed citations
15.
Heckmann, Markus, Shirin Doroudgar, Hugo A. Katus, & Lorenz Lehmann. (2018). Cardiovascular adverse events in multiple myeloma patients. Journal of Thoracic Disease. 10(S35). S4296–S4305. 19 indexed citations
16.
Heckmann, Markus, Ralf Bauer, Andreas Jungmann, et al.. (2016). AAV9-mediated gene transfer of desmin ameliorates cardiomyopathy in desmin-deficient mice. Gene Therapy. 23(8-9). 673–679. 10 indexed citations
17.
Trepel, Martin, Jakob Körbelin, Markus Heckmann, et al.. (2015). Treatment of multifocal breast cancer by systemic delivery of dual-targeted adeno-associated viral vectors. Gene Therapy. 22(10). 840–847. 26 indexed citations
18.
Thermann, Hajo, et al.. (2015). Rivaroxaban versus high dose nadroparin for thromboprophylaxis after hip or knee arthroplasty. Hämostaseologie. 35(4). 358–363. 4 indexed citations
19.
Kloke, O., U. Klaassen, C. Oberhoff, et al.. (1999). Maintenance treatment with medroxyprogesterone acetate in patients with advanced breast cancer responding to chemotherapy: results of a randomized trial. Breast Cancer Research and Treatment. 55(1). 51–59. 31 indexed citations
20.
Lange, O., et al.. (1990). Palliative chemo-radiotherapy with ifosfamide and epirubicin as first-line treatment for high-risk metastatic breast cancer. Cancer Chemotherapy and Pharmacology. 26(S1). S74–S77. 9 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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