Mark Albrecht

828 total citations
24 papers, 552 citations indexed

About

Mark Albrecht is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Mark Albrecht has authored 24 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Surgery and 7 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Mark Albrecht's work include Renal Transplantation Outcomes and Treatments (7 papers), Thermal Regulation in Medicine (6 papers) and Infection Control and Ventilation (5 papers). Mark Albrecht is often cited by papers focused on Renal Transplantation Outcomes and Treatments (7 papers), Thermal Regulation in Medicine (6 papers) and Infection Control and Ventilation (5 papers). Mark Albrecht collaborates with scholars based in United States, United Kingdom and Israel. Mark Albrecht's co-authors include Martin Maiers, Christopher J. Nachtsheim, Kumar G. Belani, David Leaper, Mike Reed, Dennis L. Confer, Mark Harper, Ian Carluke, Paul Partington and Malcolm Reed and has published in prestigious journals such as Blood, PLoS ONE and Technometrics.

In The Last Decade

Mark Albrecht

23 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Albrecht United States 16 149 145 107 97 95 24 552
V. Marco Spain 15 31 0.2× 302 2.1× 82 0.8× 264 2.7× 17 0.2× 45 923
J. Ringwald Germany 18 37 0.2× 120 0.8× 444 4.1× 96 1.0× 88 0.9× 44 914
Sabrina Buoro Italy 18 40 0.3× 151 1.0× 125 1.2× 137 1.4× 38 0.4× 70 918
María Jesús Rodríguez‐Nieto Spain 11 39 0.3× 35 0.2× 61 0.6× 293 3.0× 24 0.3× 45 522
Soyeoun Lim South Korea 13 81 0.5× 90 0.6× 13 0.1× 218 2.2× 14 0.1× 33 797
Gisela Tunes da Silva Brazil 11 14 0.1× 36 0.2× 379 3.5× 37 0.4× 50 0.5× 28 638
José Mauro Kutner Brazil 15 52 0.3× 63 0.4× 307 2.9× 56 0.6× 49 0.5× 94 708
Jean‐François Lesesve France 18 12 0.1× 37 0.3× 422 3.9× 131 1.4× 328 3.5× 98 960
Füsun Alataş Türkiye 18 128 0.9× 90 0.6× 13 0.1× 698 7.2× 46 0.5× 40 950
Søren Andreas Just Denmark 12 18 0.1× 62 0.4× 50 0.5× 62 0.6× 50 0.5× 39 443

Countries citing papers authored by Mark Albrecht

Since Specialization
Citations

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

Fields of papers citing papers by Mark Albrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Albrecht

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Albrecht. A scholar is included among the top collaborators of Mark Albrecht 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 Mark Albrecht. Mark Albrecht 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.
Williams, Eric, et al.. (2018). Machine Learning Approach to Predicting Stem Cell Donor Availability. Biology of Blood and Marrow Transplantation. 24(12). 2425–2432. 9 indexed citations
2.
Louzoun, Yoram, Idan Alter, Loren Gragert, Mark Albrecht, & Martin Maiers. (2017). Modeling coverage gaps in haplotype frequencies via Bayesian inference to improve stem cell donor selection. Immunogenetics. 70(5). 279–292. 5 indexed citations
3.
Albrecht, Mark, et al.. (2016). Unrelated donor search prognostic score to support early HLA consultation and clinical decisions. Bone Marrow Transplantation. 51(11). 1476–1481. 21 indexed citations
4.
Louzoun, Yoram, et al.. (2015). Power Laws for Heavy-Tailed Distributions: Modeling Allele and Haplotype Diversity for the National Marrow Donor Program. PLoS Computational Biology. 11(4). e1004204–e1004204. 20 indexed citations
5.
Hollenbach, Jill A., Aliya Saperstein, Mark Albrecht, et al.. (2015). Race, Ethnicity and Ancestry in Unrelated Transplant Matching for the National Marrow Donor Program: A Comparison of Multiple Forms of Self-Identification with Genetics. PLoS ONE. 10(8). e0135960–e0135960. 39 indexed citations
6.
Single, Richard M., et al.. (2015). Asymmetric linkage disequilibrium: Tools for assessing multiallelic LD. Human Immunology. 77(3). 288–294. 13 indexed citations
7.
Maiers, Martin, et al.. (2015). On Modeling Human Leukocyte Antigen–Identical Sibling Match Probability for Allogeneic Hematopoietic Cell Transplantation: Estimating the Need for an Unrelated Donor Source. Biology of Blood and Marrow Transplantation. 22(3). 410–417. 61 indexed citations
8.
Albrecht, Mark, et al.. (2013). Rejoinder: Experimental Design for Engineering Dimensional Analysis. Technometrics. 55. 1 indexed citations
9.
Albrecht, Mark, et al.. (2013). The influence of surgical hoods and togas on airborne particle concentration at the surgical site: an experimental study. Journal of Orthopaedic Science. 18(6). 1027–1030. 22 indexed citations
10.
Gragert, Loren, et al.. (2013). HLA Is a Determinant Of The Ethnic Predisposition Of Chronic Lymphocytic Leukemia. Blood. 122(21). 1620–1620. 2 indexed citations
11.
Li, William, et al.. (2013). Conjoint Analysis and Discrete Choice Experiments for Quality Improvement. Journal of Quality Technology. 45(1). 74–99. 16 indexed citations
12.
Albrecht, Mark, Christopher J. Nachtsheim, Thomas Albrecht, & R. Dennis Cook. (2012). Experimental Design for Engineering Dimensional Analysis. Technometrics. 55(3). 257–270. 33 indexed citations
13.
Albrecht, Mark, et al.. (2012). Effect of forced‐air warming on the performance of operating theatre laminar flow ventilation*. Anaesthesia. 67(3). 244–249. 41 indexed citations
14.
Albrecht, Mark, Kumar G. Belani, Christopher J. Nachtsheim, et al.. (2011). Forced-air warming and ultra-clean ventilation do not mix. Journal of Bone and Joint Surgery - British Volume. 93-B(11). 1537–1544. 72 indexed citations
15.
Nachtsheim, Christopher J., et al.. (2010). Efficacy of a novel air filtration pillow for avoidance of perennial allergens in symptomatic adults. Annals of Allergy Asthma & Immunology. 104(5). 440–449. 22 indexed citations
16.
Albrecht, Mark, et al.. (2010). Forced-air warming blowers: An evaluation of filtration adequacy and airborne contamination emissions in the operating room. American Journal of Infection Control. 39(4). 321–328. 30 indexed citations
17.
Leaper, David, et al.. (2009). Forced-air warming: a source of airborne contamination in the operating room?. Orthopedic Reviews. 1(2). e28–e28. 31 indexed citations
18.
Young, Benjamin, Lisa S. Klopp, Mark Albrecht, & Susan L. Kraft. (2004). IMAGING DIAGNOSIS: MAGNETIC RESONANCE IMAGING OF A CERVICAL WOODEN FOREIGN BODY IN A DOG. Veterinary Radiology & Ultrasound. 45(6). 538–541. 29 indexed citations
19.
20.
Albrecht, Mark, et al.. (1992). Sind Feuchtigkeitsfilter in der Inspirationsluft während Narkosebeatmung notwendig? - Neue In-vivo-Methode zur Feuchtigkeitsmessung im Atemgas. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 27(3). 149–155.

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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