Vera Großmann

3.7k total citations
43 papers, 1.1k citations indexed

About

Vera Großmann is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Vera Großmann has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hematology, 15 papers in Genetics and 13 papers in Molecular Biology. Recurrent topics in Vera Großmann's work include Acute Myeloid Leukemia Research (22 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers). Vera Großmann is often cited by papers focused on Acute Myeloid Leukemia Research (22 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers). Vera Großmann collaborates with scholars based in Germany, Austria and United States. Vera Großmann's co-authors include Torsten Haferlach, Alexander Kohlmann, Susanne Schnittger, Wolfgang Kern, Claudia Haferlach, Martin Dugas, Sonja Schindela, Hans‐Ulrich Klein, Frank Dicker and Tamara Weiss and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Vera Großmann

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vera Großmann Germany 17 523 411 363 130 126 43 1.1k
Lingyun Wu China 18 571 1.1× 441 1.1× 186 0.5× 111 0.9× 53 0.4× 62 971
Yves Pastore Canada 17 477 0.9× 303 0.7× 402 1.1× 274 2.1× 183 1.5× 60 1.1k
Loredana Bury Italy 18 645 1.2× 136 0.3× 151 0.4× 86 0.7× 89 0.7× 35 909
Imran Ahmad Canada 15 245 0.5× 323 0.8× 122 0.3× 41 0.3× 49 0.4× 92 1.1k
Kenichiro Miura Japan 19 184 0.4× 529 1.3× 166 0.5× 98 0.8× 138 1.1× 81 1.3k
Roberto Gastaldi Italy 24 351 0.7× 542 1.3× 173 0.5× 60 0.5× 313 2.5× 73 1.7k
Masaru Nakano Japan 15 151 0.3× 175 0.4× 127 0.3× 48 0.4× 84 0.7× 83 915
Krzysztof Chojnowski Poland 15 356 0.7× 120 0.3× 207 0.6× 38 0.3× 55 0.4× 73 704
TR Ulich United States 13 362 0.7× 177 0.4× 123 0.3× 37 0.3× 129 1.0× 18 980

Countries citing papers authored by Vera Großmann

Since Specialization
Citations

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

Fields of papers citing papers by Vera Großmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Großmann

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Großmann. A scholar is included among the top collaborators of Vera Großmann 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 Vera Großmann. Vera Großmann 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.
Eberl, Thomas, Andreas Gäumann, Dirk Hempel, et al.. (2020). Antitumor activity of larotrectinib in esophageal carcinoma with NTRK gene amplification. Zeitschrift für Gastroenterologie. 3 indexed citations
2.
3.
Madan, Vikas, Deepika Kanojia, Jia Li, et al.. (2015). Aberrant splicing of U12-type introns is the hallmark of ZRSR2 mutant myelodysplastic syndrome. Nature Communications. 6(1). 6042–6042. 173 indexed citations
4.
Hermanns, Iris, Vera Großmann, Henri M.H. Spronk, et al.. (2015). Distribution, genetic and cardiovascular determinants of FVIII:c — Data from the population-based Gutenberg Health Study. International Journal of Cardiology. 187. 166–174. 16 indexed citations
5.
Panova‐Noeva, Marina, Andreas Schulz, Iris Hermanns, et al.. (2015). Sex-specific differences in genetic and nongenetic determinants of mean platelet volume: results from the Gutenberg Health Study. Blood. 127(2). 251–259. 44 indexed citations
6.
Madan, Vikas, Deepika Kanojia, Jia Li, et al.. (2014). ZRSR2 Mutations Cause Dysregulated RNA Splicing in MDS. Blood. 124(21). 4609–4609. 3 indexed citations
7.
Broséus, Julien, Tamara Alpermann, Michael Wulfert, et al.. (2013). Age, JAK2V617F and SF3B1 mutations are the main predicting factors for survival in refractory anaemia with ring sideroblasts and marked thrombocytosis. Leukemia. 27(9). 1826–1831. 66 indexed citations
8.
Schnittger, Susanne, Ulrike Bacher, Tamara Alpermann, et al.. (2012). Use of CBL exon 8 and 9 mutations in diagnosis of myeloproliferative neoplasms and myelodysplastic/myeloproliferative disorders: an analysis of 636 cases. Haematologica. 97(12). 1890–1894. 21 indexed citations
9.
Großmann, Vera, Ulrike Bacher, Valentina Artusi, et al.. (2012). Molecular analysis of RAS-RAF tyrosine-kinase signaling pathway alterations in patients with plasma cell myeloma. Blood Cancer Journal. 2(8). e85–e85. 2 indexed citations
10.
Höckner, Martina, Andreas Tzschach, Andreas Dufke, et al.. (2012). Parental Origin of de novo Cytogenetically Balanced Reciprocal Non-Robertsonian Translocations. Cytogenetic and Genome Research. 136(4). 242–245. 19 indexed citations
11.
Haferlach, Claudia, Melanie Zenger, Vera Großmann, et al.. (2012). The Impact of Homozygosity and Size of the 13q Deletion in Patients with CLL. Blood. 120(21). 3892–3892. 1 indexed citations
12.
Jeromin, Sabine, Claudia Haferlach, Frank Dicker, et al.. (2012). SF3B1 Mutations Have Adverse Impact On Time to Treatment Especially in Patients with 13q Deletions: A Study On 1,124 Chronic Lymphocytic Leukemia (CLL) Patients. Blood. 120(21). 709–709. 4 indexed citations
13.
Großmann, Vera, Susanne Schnittger, Alexander Kohlmann, et al.. (2012). High Incidence of RAS Signalling Pathway Mutations in MLL–rearranged Acute Myeloid Leukemia. Blood. 120(21). 539–539. 1 indexed citations
14.
Großmann, Vera, Susanne Schnittger, Sonja Schindela, et al.. (2011). Strategy for Robust Detection of Insertions, Deletions, and Point Mutations in CEBPA, a GC-Rich Content Gene, Using 454 Next-Generation Deep-Sequencing Technology. Journal of Molecular Diagnostics. 13(2). 129–136. 30 indexed citations
15.
16.
Schnittger, Susanne, et al.. (2011). Development and Validation of a Real Time Quantification Assay to Detect and Monitor BRAFV600E-Mutations in Hairy Cell Leukemia,. Blood. 118(21). 3674–3674. 3 indexed citations
17.
Großmann, Vera, Martina Höckner, Houda Karmous‐Benailly, et al.. (2010). Parental origin of apparently balanced de novo complex chromosomal rearrangements investigated by microdissection, whole genome amplification, and microsatellite‐mediated haplotype analysis. Clinical Genetics. 78(6). 548–553. 24 indexed citations
18.
19.
Großmann, Vera, Doris Müller, Wilfried Müller, et al.. (2009). “Essentially” pure trisomy 3q27 → qter: Further delineation of the partial trisomy 3q phenotype. American Journal of Medical Genetics Part A. 149A(11). 2522–2526. 18 indexed citations
20.
Großmann, Vera & J Kvĕtina. (1960). Zum erhöhten Blutspiegel des Pethidins bei Ratten nach der Bestrahlung. Naunyn-Schmiedeberg s Archives of Pharmacology. 238(1). 107–108. 2 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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