Gudrun Mellert

595 total citations
10 papers, 314 citations indexed

About

Gudrun Mellert is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Gudrun Mellert has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 7 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Gudrun Mellert's work include Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Vascular Tumors and Angiosarcomas (3 papers). Gudrun Mellert is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Vascular Tumors and Angiosarcomas (3 papers). Gudrun Mellert collaborates with scholars based in Germany and Canada. Gudrun Mellert's co-authors include Karsten Spiekermann, Stefan K. Bohlander, Tobias Benthaus, Annika Dufour, Evelyn Zellmeier, Wolfgang Hiddemann, Wolfgang Hiddemann, Christian Buske, Jan Braess and Sridhar Vempati and has published in prestigious journals such as Blood, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Gudrun Mellert

10 papers receiving 307 citations

Peers

Gudrun Mellert

HEMAT

MB

GENET

PHEOH

CR

M-C. Kuo Taiwan

Ina Stolze Germany

A Dufour Germany

M. C. Sauerland Germany

Karine Celli‐Lebras France

Karolína Perglerová Germany

Maria Paz Queipo De Llano Spain

Matthew Smith United Kingdom

Friederike Pastore Germany

Maria C. Sauerland Germany

M-C. Kuo Taiwan

Gudrun Mellert

321 ×1.1

HEMAT

164 ×1.1

MB

155 ×1.3

GENET

57 ×0.8

PHEOH

27 ×0.8

CR

Citations per year, relative to Gudrun Mellert Gudrun Mellert (= 1×) peers M-C. Kuo

Countries citing papers authored by Gudrun Mellert

Since Specialization

Citations

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

Fields of papers citing papers by Gudrun Mellert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gudrun Mellert

This figure shows the co-authorship network connecting the top 25 collaborators of Gudrun Mellert. A scholar is included among the top collaborators of Gudrun Mellert 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 Gudrun Mellert. Gudrun Mellert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Pastore, Friederike, Philipp A. Greif, Stephanie Schneider, et al.. (2014). The NPM1 Mutation Type Has No Impact on Survival in Cytogenetically Normal AML. PLoS ONE. 9(10). e109759–e109759. 16 indexed citations

2.

Schneider, Friederike, Eva Hoster, Michael Unterhalt, et al.. (2012). The FLT3ITD mRNA level has a high prognostic impact in NPM1 mutated, but not in NPM1 unmutated, AML with a normal karyotype. Blood. 119(19). 4383–4386. 34 indexed citations

3.

Reindl, Carola, Hilmar Quentmeier, Konstantin Petropoulos, et al.. (2009). CBL Exon 8/9 Mutants Activate the FLT3 Pathway and Cluster in Core Binding Factor/11q Deletion Acute Myeloid Leukemia/Myelodysplastic Syndrome Subtypes. Clinical Cancer Research. 15(7). 2238–2247. 89 indexed citations

4.

Schneider, Friederike, Eva Hoster, Michael Unterhalt, et al.. (2009). NPM1 but not FLT3-ITD mutations predict early blast cell clearance and CR rate in patients with normal karyotype AML (NK-AML) or high-risk myelodysplastic syndrome (MDS). Blood. 113(21). 5250–5253. 48 indexed citations

5.

Benthaus, Tobias, Friederike Schneider, Gudrun Mellert, et al.. (2008). Rapid and sensitive screening for CEBPA mutations in acute myeloid leukaemia. British Journal of Haematology. 143(2). 230–239. 45 indexed citations

6.

Schneider, Friederike, Eva Hoster, Michael Unterhalt, et al.. (2008). Age-Dependent Frequencies of NPM-1/FLT3-ITD Mutations in Patients with Normal Karyotype AML. Blood. 112(11). 2531–2531. 3 indexed citations

7.

Dufour, Annika, Stephanie Schneider, Stefan K. Bohlander, et al.. (2008). Monitoring minimal residual disease in acute myeloid leukaemia with NPM1 mutations by quantitative PCR: clonal evolution is a limiting factor. British Journal of Haematology. 144(4). 517–523. 59 indexed citations

8.

Benthaus, Tobias, Gudrun Mellert, Evelyn Zellmeier, et al.. (2007). A Rapid and Sensitive Method for Large-Scale Screening of CEBPA Mutations in AML Patients with Normal Karyotype.. Blood. 110(11). 3483–3483. 1 indexed citations

9.

Vempati, Sridhar, Carola Reindl, Martin Dugas, et al.. (2007). Arginine 595 is duplicated in patients with acute leukemias carrying internal tandem duplications of FLT3 and modulates its transforming potential. Blood. 110(2). 686–694. 18 indexed citations

10.

Schneider, Stephanie, Friederike Schneider, Annika Dufour, et al.. (2007). FLT3-ITD but Not FLT3-TKD Mutations Have Major Prognostic Impact in Normal Karyotype AML.. Blood. 110(11). 3486–3486. 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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