Jan A. Graw

1.0k total citations
66 papers, 652 citations indexed

About

Jan A. Graw is a scholar working on Emergency Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jan A. Graw has authored 66 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Emergency Medicine, 13 papers in Surgery and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jan A. Graw's work include Respiratory Support and Mechanisms (11 papers), Cardiac Arrest and Resuscitation (11 papers) and Hemoglobin structure and function (8 papers). Jan A. Graw is often cited by papers focused on Respiratory Support and Mechanisms (11 papers), Cardiac Arrest and Resuscitation (11 papers) and Hemoglobin structure and function (8 papers). Jan A. Graw collaborates with scholars based in Germany, United States and Austria. Jan A. Graw's co-authors include Mario Menk, Claudia Spies, Oliver Hunsicker, Steffen Weber‐Carstens, Clarissa von Haefen, Donald B. Bloch, Roland C. E. Francis, Rajeev Malhotra, Warren M. Zapol and K.‐D. Wernecke and has published in prestigious journals such as Circulation, Blood and PLoS ONE.

In The Last Decade

Jan A. Graw

56 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan A. Graw Germany 18 124 117 107 107 82 66 652
Torben Pottgießer Germany 20 87 0.7× 76 0.6× 125 1.2× 61 0.6× 23 0.3× 50 1.1k
Michael D. Maile United States 17 85 0.7× 222 1.9× 155 1.4× 108 1.0× 148 1.8× 46 895
Androniki Kollintza Greece 17 58 0.5× 67 0.6× 559 5.2× 135 1.3× 78 1.0× 24 1.0k
Alastair Proudfoot United Kingdom 13 277 2.2× 232 2.0× 254 2.4× 305 2.9× 102 1.2× 43 899
Harald Noddeland Norway 21 62 0.5× 330 2.8× 150 1.4× 88 0.8× 51 0.6× 38 875
Sergey B. Zaets United States 17 43 0.3× 157 1.3× 320 3.0× 104 1.0× 235 2.9× 46 968
Kentaro Ejiri Japan 17 205 1.7× 307 2.6× 330 3.1× 214 2.0× 113 1.4× 72 970
Alphonse DeLucia United States 14 50 0.4× 202 1.7× 120 1.1× 63 0.6× 85 1.0× 35 563
Lázaro Gotloib Israel 21 66 0.5× 442 3.8× 315 2.9× 38 0.4× 96 1.2× 56 1.3k
Donald Roberts Sweden 17 81 0.7× 301 2.6× 180 1.7× 38 0.4× 80 1.0× 71 645

Countries citing papers authored by Jan A. Graw

Since Specialization
Citations

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

Fields of papers citing papers by Jan A. Graw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan A. Graw. 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 Jan A. Graw. The network helps show where Jan A. Graw may publish in the future.

Co-authorship network of co-authors of Jan A. Graw

This figure shows the co-authorship network connecting the top 25 collaborators of Jan A. Graw. A scholar is included among the top collaborators of Jan A. Graw 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 Jan A. Graw. Jan A. Graw 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
2.
Graw, Jan A., et al.. (2025). Quantifying training response in cycling based on cardiovascular drift using machine learning. Frontiers in Artificial Intelligence. 8. 1623384–1623384. 1 indexed citations
4.
Graw, Jan A., et al.. (2025). Slow releasing sulphide donor GYY4137 protects mice against ventilator-induced lung injury. Intensive Care Medicine Experimental. 13(1). 45–45.
5.
Ruß, Martin, et al.. (2024). Predictive Potential of ECMO Blood Flow for Hemolysis and Outcome of Patients with Severe ARDS. Journal of Clinical Medicine. 14(1). 140–140. 1 indexed citations
6.
Schmitt, Jan, et al.. (2023). Rate of Complications after Hip Fractures Caused by Prolonged Time-to-Surgery Depends on the Patient’s Individual Type of Fracture and Its Treatment. Journal of Personalized Medicine. 13(10). 1470–1470. 2 indexed citations
7.
Graw, Jan A., et al.. (2023). Biomechanical comparison of different implants for PIP arthrodesis. Foot and Ankle Surgery. 29(7). 518–524. 3 indexed citations
8.
Graw, Jan A., Oliver Hunsicker, Björn Weiß, et al.. (2022). Outcome Comparison of Acute Respiratory Distress Syndrome (ARDS) in Patients with Trauma-Associated and Non-Trauma-Associated ARDS: A Retrospective 11-Year Period Analysis. Journal of Clinical Medicine. 11(19). 5734–5734. 6 indexed citations
9.
Graw, Jan A., Alexander Krannich, Felix Balzer, et al.. (2022). The role of cell-free hemoglobin and haptoglobin in acute kidney injury in critically ill adults with ARDS and therapy with VV ECMO. Critical Care. 26(1). 50–50. 24 indexed citations
10.
Ruß, Martin, Frank Konietschke, Jan A. Graw, et al.. (2022). Induction of severe hypoxemia and low lung recruitability for the evaluation of therapeutic ventilation strategies: a translational model of combined surfactant-depletion and ventilator-induced lung injury. Intensive Care Medicine Experimental. 10(1). 32–32. 2 indexed citations
11.
Graw, Jan A., et al.. (2021). End-of-Life Decision-Making in Intensive Care Ten Years after a Law on Advance Directives in Germany. Medicina. 57(9). 930–930. 6 indexed citations
12.
Hunsicker, Oliver, Alexander Krannich, Felix Balzer, et al.. (2020). Lower versus higher hemoglobin threshold for transfusion in ARDS patients with and without ECMO. Critical Care. 24(1). 697–697. 19 indexed citations
13.
Hunsicker, Oliver, Jan A. Graw, Alexander Krannich, et al.. (2019). Transfusion of red blood cells does not impact progression‐free and overall survival after surgery for ovarian cancer. Transfusion. 59(12). 3589–3600. 11 indexed citations
14.
Zoremba, Martin, et al.. (2019). Indicated trauma emergency department utilization – A comparison between patients’ self-assessment and professional evaluation. International Emergency Nursing. 44. 30–34. 8 indexed citations
15.
Richter, Oliver von, et al.. (2019). Efficiency of platelet-rich plasma therapy in knee osteoarthritis does not depend on level of cartilage damage. Journal of Orthopaedic Surgery and Research. 14(1). 153–153. 23 indexed citations
16.
Richter, W., Arne Ohrndorf, Hans‐Jürgen Christ, et al.. (2018). Biomechanics of common fixation devices for first tarsometatarsal joint fusion—a comparative study with synthetic bones. Journal of Orthopaedic Surgery and Research. 13(1). 176–176. 19 indexed citations
17.
Menk, Mario, Gerald Vorderwülbecke, Jan A. Graw, et al.. (2018). Nucleated red blood cells as predictors of mortality in patients with acute respiratory distress syndrome (ARDS): an observational study. Annals of Intensive Care. 8(1). 42–42. 34 indexed citations
18.
Graw, Jan A., et al.. (2018). Risk perception of blood transfusions – a comparison of patients and allied healthcare professionals. BMC Health Services Research. 18(1). 122–122. 9 indexed citations
19.
Menk, Mario, Jan A. Graw, Clarissa von Haefen, et al.. (2015). Characterization of inflammation in a rat model of acute lung injury after repeated pulmonary lavage. Experimental Lung Research. 41(8). 466–476. 3 indexed citations
20.
Graw, Jan A., et al.. (2015). Chronic Alcohol Consumption Leads to a Tissue Specific Expression of Uncoupling Protein-2. International Journal of Medical Sciences. 12(12). 995–999. 5 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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