Stephan Lobitz

2.0k total citations
34 papers, 822 citations indexed

About

Stephan Lobitz is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Stephan Lobitz has authored 34 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 14 papers in Hematology and 13 papers in Molecular Biology. Recurrent topics in Stephan Lobitz's work include Hemoglobinopathies and Related Disorders (17 papers), Iron Metabolism and Disorders (12 papers) and DNA Repair Mechanisms (6 papers). Stephan Lobitz is often cited by papers focused on Hemoglobinopathies and Related Disorders (17 papers), Iron Metabolism and Disorders (12 papers) and DNA Repair Mechanisms (6 papers). Stephan Lobitz collaborates with scholars based in Germany, France and United States. Stephan Lobitz's co-authors include Michael Angastiniotis, Eunike Velleuer, Helmut Hanenberg, Detlev Schindler, Ralf Dietrich, Holger N. Lode, Richard Friedl, Holger Hoehn, Bernd Gruhn and Sarah Herterich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature reviews. Cancer and Blood.

In The Last Decade

Stephan Lobitz

34 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Lobitz Germany 16 435 218 214 164 128 34 822
Nataša Tos̆ić Serbia 17 423 1.0× 150 0.7× 250 1.2× 56 0.3× 113 0.9× 66 803
Ariane de Agostini Switzerland 14 205 0.5× 311 1.4× 274 1.3× 82 0.5× 75 0.6× 30 839
Karsten Stahnke Germany 15 327 0.8× 76 0.3× 197 0.9× 26 0.2× 38 0.3× 23 635
Wagner V. Yotov Canada 16 387 0.9× 44 0.2× 181 0.8× 64 0.4× 56 0.4× 25 926
N. J. Philpott United Kingdom 10 339 0.8× 75 0.3× 236 1.1× 109 0.7× 89 0.7× 14 703
Tomoko Yoshioka Japan 13 411 0.9× 148 0.7× 165 0.8× 27 0.2× 119 0.9× 47 988
Long-Jun Gu China 11 401 0.9× 45 0.2× 240 1.1× 30 0.2× 27 0.2× 59 700
Giulia Porro Italy 6 574 1.3× 49 0.2× 100 0.5× 31 0.2× 75 0.6× 10 783
Diana Hanekamp Netherlands 11 283 0.7× 88 0.4× 267 1.2× 25 0.2× 82 0.6× 16 559
Naomi Park United Kingdom 7 373 0.9× 228 1.0× 353 1.6× 46 0.3× 184 1.4× 11 761

Countries citing papers authored by Stephan Lobitz

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Lobitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Lobitz

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Lobitz. A scholar is included among the top collaborators of Stephan Lobitz 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 Stephan Lobitz. Stephan Lobitz 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
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Lobitz, Stephan, Nicolaus Schwerk, Jens Dingemann, et al.. (2022). Complete Tracheal Ring Deformity, Recurrent Pneumothoraces and Pleuropulmonary Blastoma in a Child: Coincidence or Common Genetic Cause?. Klinische Pädiatrie. 234(5). 311–313. 1 indexed citations
4.
Allard, Pierre, Stephan Lobitz, Holger Cario, et al.. (2021). Genetic modifiers of fetal hemoglobin affect the course of sickle cell disease in patients treated with hydroxyurea. Haematologica. 107(7). 1577–1588. 12 indexed citations
5.
Kunz, Joachim B., Stephan Lobitz, Andrea Jarisch, et al.. (2021). Benefits of a Disease Management Program for Sickle Cell Disease in Germany 2011–2019: The Increased Use of Hydroxyurea Correlates with a Reduced Frequency of Acute Chest Syndrome. Journal of Clinical Medicine. 10(19). 4543–4543. 8 indexed citations
6.
Curtis, Kristina, et al.. (2019). A Medication Adherence App for Children With Sickle Cell Disease: Qualitative Study. JMIR mhealth and uhealth. 7(6). e8130–e8130. 18 indexed citations
7.
Daniel, Yvonne, Jacques Élion, Catherine Badens, et al.. (2019). Newborn Screening for Sickle Cell Disease in Europe. International Journal of Neonatal Screening. 5(1). 15–15. 19 indexed citations
8.
Lobitz, Stephan, et al.. (2018). Newborn screening by tandem mass spectrometry confirms the high prevalence of sickle cell disease among German newborns. Annals of Hematology. 98(1). 47–53. 22 indexed citations
9.
Gramer, Gwendolyn, Fabian Hauck, Stephan Lobitz, et al.. (2017). Neugeborenenscreening 2020. Monatsschrift Kinderheilkunde. 165(3). 216–225. 9 indexed citations
10.
Lobitz, Stephan, et al.. (2016). Cognitive and fine motor deficits in a pediatric sickle cell disease cohort of mixed ethnic origin. Annals of Hematology. 96(2). 199–213. 15 indexed citations
11.
Lobitz, Stephan, et al.. (2014). Incidence of sickle cell disease in an unselected cohort of neonates born in Berlin, Germany. European Journal of Human Genetics. 22(8). 1051–1053. 15 indexed citations
12.
Frömmel, Claudia, et al.. (2014). Newborn Screening for Sickle Cell Disease: Technical and Legal Aspects of a German Pilot Study with 38,220 Participants. BioMed Research International. 2014. 1–10. 17 indexed citations
13.
Soldati, Rocío, Nicole Huebener, Oliver Höhn, et al.. (2013). Salmonella SL7207 application is the most effective DNA vaccine delivery method for successful tumor eradication in a murine model for neuroblastoma. Cancer Letters. 331(2). 167–173. 54 indexed citations
14.
Rohwer, Nadine, Stephan Lobitz, Thomas Jöns, et al.. (2009). HIF-1α determines the metastatic potential of gastric cancer cells. British Journal of Cancer. 100(5). 772–781. 70 indexed citations
15.
Seifert, Georg, Patrick Jesse, Tobias Reindl, et al.. (2008). Molecular mechanisms of mistletoe plant extract-induced apoptosis in acute lymphoblastic leukemia in vivo and in vitro. Cancer Letters. 264(2). 218–228. 80 indexed citations
16.
Lobitz, Stephan & Eunike Velleuer. (2006). Guido Fanconi (1892–1979): a jack of all trades. Nature reviews. Cancer. 6(11). 893–898. 62 indexed citations
17.
Demuth, Ilja, Pierre‐Olivier Frappart, Anna Melchers, et al.. (2004). An inducible null mutant murine model of Nijmegen breakage syndrome proves the essential function of NBS1 in chromosomal stability and cell viability. Human Molecular Genetics. 13(20). 2385–2397. 56 indexed citations
18.
Popp, Henning D., et al.. (2003). Screening Fanconi anemia lymphoid cell lines of non-A, C, D2, E, F, G subtypes for defects in BRCA2/FANCD1. Cytogenetic and Genome Research. 103(1-2). 54–57. 5 indexed citations
19.
Hanenberg, Helmut, Sat Dev Batish, Karen E. Pollok, et al.. (2002). Phenotypic correction of primary Fanconi anemia T cells with retroviral vectors as a diagnostic tool. Experimental Hematology. 30(5). 410–420. 71 indexed citations
20.
Hanenberg, Helmut, Stephan Lobitz, Richard Friedl, et al.. (2002). Reverse mosaicism in Fanconi anemia: natural gene therapy via molecular self-correction. Cytogenetic and Genome Research. 98(2-3). 126–135. 128 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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