Andrea Kündgen

5.1k total citations · 1 hit paper
50 papers, 2.4k citations indexed

About

Andrea Kündgen is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Andrea Kündgen has authored 50 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Hematology, 25 papers in Genetics and 7 papers in Oncology. Recurrent topics in Andrea Kündgen's work include Acute Myeloid Leukemia Research (42 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers) and Multiple Myeloma Research and Treatments (6 papers). Andrea Kündgen is often cited by papers focused on Acute Myeloid Leukemia Research (42 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers) and Multiple Myeloma Research and Treatments (6 papers). Andrea Kündgen collaborates with scholars based in Germany, Austria and Switzerland. Andrea Kündgen's co-authors include Ulrich Germing, Rainer Haas, Norbert Gattermann, Ulrich Germing, Carlo Aul, Aristoteles Giagounidis, Corinna Strupp, Barbara Hildebrandt, Michael Lübbert and Norbert Gattermann and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Andrea Kündgen

48 papers receiving 2.3k citations

Hit Papers

New insights into the prognostic impact of the karyotype ... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Kündgen Germany 19 2.1k 1.1k 655 351 231 50 2.4k
Erica Travaglino Italy 20 2.0k 0.9× 1.3k 1.2× 488 0.7× 198 0.6× 253 1.1× 57 2.3k
Andrea Kuendgen Germany 20 2.0k 0.9× 883 0.8× 869 1.3× 303 0.9× 210 0.9× 47 2.3k
Corinna Strupp Germany 26 2.7k 1.3× 1.4k 1.3× 873 1.3× 332 0.9× 279 1.2× 64 3.0k
Martin Jädersten Sweden 22 1.7k 0.8× 795 0.8× 857 1.3× 137 0.4× 263 1.1× 63 2.1k
Otto Krieger Austria 14 1.2k 0.6× 528 0.5× 328 0.5× 201 0.6× 271 1.2× 37 1.5k
Thomas Nösslinger Austria 17 1.4k 0.7× 684 0.6× 498 0.8× 188 0.5× 255 1.1× 49 1.6k
Frédérik Damm Germany 23 1.7k 0.8× 780 0.7× 1.2k 1.8× 306 0.9× 168 0.7× 58 2.2k
Stephen E. Langabeer Ireland 20 2.3k 1.1× 959 0.9× 1.3k 2.0× 584 1.7× 251 1.1× 104 2.7k
Rolf Billström Sweden 25 1.2k 0.6× 473 0.4× 538 0.8× 411 1.2× 185 0.8× 58 1.7k
Janice M. Hodnefield United States 18 1.3k 0.6× 763 0.7× 727 1.1× 80 0.2× 379 1.6× 28 1.7k

Countries citing papers authored by Andrea Kündgen

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Kündgen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Kündgen

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Kündgen. A scholar is included among the top collaborators of Andrea Kündgen 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 Andrea Kündgen. Andrea Kündgen 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.
Kündgen, Andrea, Kathrin Nachtkamp, Paul Jäger, et al.. (2025). Outcomes in patients with acute myeloid leukemia older than 70 years within the last 30 years, a single center experience. Annals of Hematology. 104(1). 231–239.
3.
Nachtkamp, Kathrin, Andrea Kündgen, Thomas Schroeder, et al.. (2021). Eligibility for clinical trials is unsatisfactory for patients with myelodysplastic syndromes, even at a tertiary referral center. Leukemia Research. 108. 106611–106611. 4 indexed citations
4.
Germing, Ulrich, Thomas Schroeder, Jennifer Kaivers, et al.. (2019). Novel therapies in low- and high-risk myelodysplastic syndrome. Expert Review of Hematology. 12(10). 893–908. 14 indexed citations
5.
Schuler, Esther, Sabine Blum, Thomas Schroeder, et al.. (2018). Long-term outcome of high risk patients with myelodysplastic syndromes or secondary acute myeloid leukemia receiving intensive chemotherapy. Annals of Hematology. 97(12). 2325–2332. 12 indexed citations
6.
Nachtkamp, Kathrin, Corinna Strupp, Andrea Kündgen, et al.. (2016). Causes of death in 2877 patients with myelodysplastic syndromes. Annals of Hematology. 95(6). 937–944. 63 indexed citations
7.
Geyh, Stefanie, Simin Öz, Julia Fröbel, et al.. (2013). Insufficient stromal support in MDS results from molecular and functional deficits of mesenchymal stromal cells. Leukemia. 27(9). 1841–1851. 177 indexed citations
8.
Vainstein, Vladimir, et al.. (2012). Analyzing transformation of myelodysplastic syndrome to secondary acute myeloid leukemia using a large patient database. American Journal of Hematology. 87(9). 853–860. 25 indexed citations
9.
Germing, Ulrich & Andrea Kündgen. (2012). Prognostic scoring systems in MDS. Leukemia Research. 36(12). 1463–1469. 17 indexed citations
10.
Neukirchen, Judith, Frank Fox, Andrea Kündgen, et al.. (2012). Improved survival in MDS patients receiving iron chelation therapy – A matched pair analysis of 188 patients from the Düsseldorf MDS registry. Leukemia Research. 36(8). 1067–1070. 99 indexed citations
11.
Gattermann, Norbert, et al.. (2012). Diagnosis and Therapy of Myelodysplastic Syndromes in Germany: A Retrospective Multicenter Analysis. Onkologie. 35(6). 350–356. 5 indexed citations
12.
Knipp, Sabine, Andrea Kündgen, Aristoteles Giagounidis, et al.. (2007). Intensive chemotherapy is not recommended for patients aged >60 years who have myelodysplastic syndromes or acute myeloid leukemia with high‐risk karyotypes. Cancer. 110(2). 345–352. 82 indexed citations
13.
Gattermann, Norbert, Andrea Kündgen, & Ulrich Germing. (2007). Treatment of patients with high-risk myelodysplastic syndromes. Cancer Treatment Reviews. 33. S64–S68. 1 indexed citations
14.
Strupp, Corinna, Ulrich Germing, Manuel Aivado, et al.. (2005). The ratio between CD4 + and CD8 + cells in the peripheral blood of patients with hematological malignancies is not altered by thalidomide. Leukemia & lymphoma. 46(7). 999–1006. 4 indexed citations
16.
17.
Strupp, Corinna, Roland Fenk, Andrea Kündgen, et al.. (2005). Hairy cell leukemia (HCL) with extensive myelofibrosis responds to thalidomide. Leukemia Research. 29(8). 967–969. 4 indexed citations
18.
Germing, Ulrich, Andrea Kündgen, & Norbert Gattermann. (2004). Risk Assessment in Chronic Myelomonocytic Leukemia (CMML). Leukemia & lymphoma. 45(7). 1311–1318. 98 indexed citations
19.
Strupp, Corinna, Ulrich Germing, A. Scherer, et al.. (2003). Thalidomide for the treatment of idiopathic myelofibrosis. European Journal Of Haematology. 72(1). 52–57. 19 indexed citations
20.
Kündgen, Andrea, Manuel Aivado, Johannes van Dijk, et al.. (2001). Are AClonal@ X-chromosome inactivation patterns of T cells in MDS dependent on disease duration ? Evaluation of 117 patients with MDS. Blood. 98(11). 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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