Michael Haap

4.4k total citations
91 papers, 3.3k citations indexed

About

Michael Haap is a scholar working on Physiology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Haap has authored 91 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 18 papers in Epidemiology and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Haap's work include Adipose Tissue and Metabolism (13 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Intensive Care Unit Cognitive Disorders (6 papers). Michael Haap is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Intensive Care Unit Cognitive Disorders (6 papers). Michael Haap collaborates with scholars based in Germany, United States and United Kingdom. Michael Haap's co-authors include Andreas Fritsche, Claus Thamer, Michael Stümvoll, Hans‐Georg Kopp, Hans‐Peter Lipp, Jörg Hartmann, Otto Tschritter, Fritz Schick, Hans Häring and Jürgen Machann and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Michael Haap

90 papers receiving 3.2k citations

Author Peers

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

Author Last Decade Papers Cites
Michael Haap 1.1k 1.0k 661 599 398 91 3.3k
Minoru Yamakado 608 0.5× 927 0.9× 960 1.5× 625 1.0× 619 1.6× 128 3.5k
Petter Urdal 680 0.6× 559 0.5× 563 0.9× 332 0.6× 503 1.3× 86 2.8k
Susanne Kaser 1.3k 1.1× 2.2k 2.1× 808 1.2× 898 1.5× 869 2.2× 104 4.8k
Alper Sönmez 750 0.7× 1.2k 1.2× 734 1.1× 1.2k 2.1× 1.1k 2.9× 169 4.9k
Shyi‐Jang Shin 870 0.8× 1.7k 1.7× 968 1.5× 897 1.5× 1.3k 3.2× 159 4.8k
Yong‐Soo Kim 599 0.5× 934 0.9× 1.1k 1.7× 531 0.9× 395 1.0× 289 5.9k
Paul E. Szmitko 704 0.6× 1.4k 1.4× 1.1k 1.7× 1.5k 2.6× 561 1.4× 43 4.7k
Jürgen Geisel 490 0.4× 403 0.4× 666 1.0× 415 0.7× 205 0.5× 104 3.3k
Samuel N. Heyman 647 0.6× 381 0.4× 1.3k 1.9× 487 0.8× 406 1.0× 164 6.1k
Juan Carlos Ruiz 600 0.5× 714 0.7× 614 0.9× 613 1.0× 560 1.4× 262 6.1k

Countries citing papers authored by Michael Haap

Since Specialization
Citations

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

Fields of papers citing papers by Michael Haap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Haap

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Haap. A scholar is included among the top collaborators of Michael Haap 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 Michael Haap. Michael Haap 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.
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Haap, Michael, et al.. (2017). Clinical, laboratory and imaging findings in Castleman's disease – The subtype decides. Blood Reviews. 32(3). 225–234. 26 indexed citations
3.
Haap, Michael, Heinz Jürgen Roth, Thomas Huber, Helmut Dittmann, & Richard Wahl. (2017). Urinary iodine: comparison of a simple method for its determination in microplates with measurement by inductively-coupled plasma mass spectrometry. Scientific Reports. 7(1). 39835–39835. 24 indexed citations
4.
Rießen, Reimer, Otto Tschritter, Uwe Janssens, & Michael Haap. (2015). Katecholamine: Pro und Kontra. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 111(1). 37–46. 12 indexed citations
5.
Wurster, Thomas, Reimer Rießen, & Michael Haap. (2015). Akutes Aortensyndrom. DMW - Deutsche Medizinische Wochenschrift. 140(2). 104–109. 2 indexed citations
6.
Patzelt, Johannes, Yingying Zhang, Peter Seizer, et al.. (2015). Effects of Mechanical Ventilation on Heart Geometry and Mitral Valve Leaflet Coaptation During Percutaneous Edge-to-Edge Mitral Valve Repair. JACC: Cardiovascular Interventions. 9(2). 151–159. 30 indexed citations
7.
Baumann, Dorothée, Michael Haap, Jürgen Schreieck, et al.. (2014). Vaginale Blutung als Symptom eines internistischen Notfalls – Tücken der Therapie mit neuen oralen Antikoagulanzien – Fall 5/2014. DMW - Deutsche Medizinische Wochenschrift. 139(30). 1539–1539. 2 indexed citations
8.
9.
Heyne, Nils, et al.. (2013). High Cut-Off Renal Replacement Therapy for Removal of Myoglobin in Severe Rhabdomyolysis and Acute Kidney Injury: A Case Series. Nephron Clinical Practice. 121(3-4). c159–c164. 42 indexed citations
10.
Rießen, Reimer, et al.. (2013). Therapiezieländerungen auf einer internistischen Intensivstation. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 108(5). 412–418. 19 indexed citations
11.
Artunç, Ferruh, et al.. (2010). Bedeutung erhöhter Troponin-Werte bei terminaler Niereninsuffizienz – Fall 2/2010. DMW - Deutsche Medizinische Wochenschrift. 135(6). 240–240. 3 indexed citations
12.
Haap, Michael, D. Overkamp, Martin Kimmel, et al.. (2010). Characterization and outcome following Puumala virus infection: a retrospective analysis of 75 cases. Nephrology Dialysis Transplantation. 25(9). 2997–3003. 48 indexed citations
13.
Schwenzer, Nina F., Jürgen Machann, Michael Haap, et al.. (2008). T2* Relaxometry in Liver, Pancreas, and Spleen in a Healthy Cohort of One Hundred Twenty-Nine Subjects–Correlation With Age, Gender, and Serum Ferritin. Investigative Radiology. 43(12). 854–860. 89 indexed citations
14.
Thamer, Claus, J Machann, Norbert Stefan, et al.. (2007). High Visceral Fat Mass and High Liver Fat Are Associated with Resistance to Lifestyle Intervention. Obesity. 15(2). 531–538. 102 indexed citations
15.
Kantartzis, Kοnstantinos, Andreas Fritsche, Otto Tschritter, et al.. (2005). The Association between Plasma Adiponectin and Insulin Sensitivity in Humans Depends on Obesity. Obesity Research. 13(10). 1683–1691. 39 indexed citations
16.
Haap, Michael, Ina Kötter, Marius Horger, et al.. (2005). Disseminated Epitheloid Hemangioendothelioma Mimicking Symptoms of Systemic Vasculitis. Oncology Research and Treatment. 28(8-9). 429–432. 7 indexed citations
17.
Machann, Jürgen, Claus Thamer, Michael Haap, et al.. (2005). Standardized assessment of whole body adipose tissue topography by MRI. Journal of Magnetic Resonance Imaging. 21(4). 455–462. 208 indexed citations
18.
Thamer, Claus, Michael Haap, Oliver Bachmann, et al.. (2004). Serum adiponectin levels predict the effect of short-term dietary interventions on insulin sensitivity in humans. Diabetologia. 47(7). 1303–1305. 13 indexed citations
19.
Wahl, Hans Günther, Michael Haap, Fausto Machicao, et al.. (2003). Glucose oversupply increases Δ9-desaturase expression and its metabolites in rat skeletal muscle. Diabetologia. 46(2). 203–212. 24 indexed citations
20.
Haap, Michael, et al.. (1991). Diastolic dysfunction as a precursor of myocardial damage by reoxygenation. European Heart Journal. 12(suppl D). 182–186. 1 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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