Anja Böhnke

558 total citations
9 papers, 473 citations indexed

About

Anja Böhnke is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anja Böhnke has authored 9 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anja Böhnke's work include Cancer-related Molecular Pathways (8 papers), Sarcoma Diagnosis and Treatment (3 papers) and Cancer Research and Treatments (2 papers). Anja Böhnke is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Sarcoma Diagnosis and Treatment (3 papers) and Cancer Research and Treatments (2 papers). Anja Böhnke collaborates with scholars based in Germany, United States and United Kingdom. Anja Böhnke's co-authors include Frank Bartel, Steffen Hauptmann, Elise Gradhand, Christoph Thomssen, Helge Täubert, Matthias Kappler, Peter Würl, Matthias Bache, Anja Wolf and Jochen Dahm‐Daphi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Anja Böhnke

9 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anja Böhnke Germany	8	355	270	173	42	40	9	473
Camilla Avivi Israel	5	242 0.7×	218 0.8×	138 0.8×	24 0.6×	41 1.0×	6	409
Dina Ali Sweden	4	298 0.8×	264 1.0×	119 0.7×	44 1.0×	67 1.7×	5	460
Yinhua Yu China	8	284 0.8×	176 0.7×	108 0.6×	16 0.4×	32 0.8×	10	465
Shi Yu Zhang United States	7	273 0.8×	293 1.1×	111 0.6×	38 0.9×	54 1.4×	9	437
Yiren Xiao United States	7	276 0.8×	130 0.5×	128 0.7×	18 0.4×	49 1.2×	11	415
Jessie Jeffery Australia	8	346 1.0×	155 0.6×	85 0.5×	19 0.5×	63 1.6×	8	435
Renèe B. Schulz Australia	7	291 0.8×	158 0.6×	147 0.8×	30 0.7×	24 0.6×	7	402
Tang Bu-jian China	8	205 0.6×	125 0.5×	120 0.7×	17 0.4×	21 0.5×	15	385
I Schönborn Germany	6	223 0.6×	176 0.7×	87 0.5×	14 0.3×	28 0.7×	14	373
Jonas Ecker Germany	7	291 0.8×	232 0.9×	102 0.6×	47 1.1×	59 1.5×	11	488

Countries citing papers authored by Anja Böhnke

Since Specialization

Citations

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

Fields of papers citing papers by Anja Böhnke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Böhnke

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

All Works

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9 of 9 papers shown

Böhnke, Anja, Eleonora Leucci, Søren Jensby Nielsen, et al.. (2010). An Illegitimate microRNA Target Site within the 3′ UTR of MDM4 Affects Ovarian Cancer Progression and Chemosensitivity. Cancer Research. 70(23). 9641–9649. 141 indexed citations

Teunisse, Amina F.A.S., Suzanne Lam, Kirsten Lodder, et al.. (2010). HDMX-L Is Expressed from a Functional p53-responsive Promoter in the First Intron of the HDMX Gene and Participates in an Autoregulatory Feedback Loop to Control p53 Activity. Journal of Biological Chemistry. 285(38). 29111–29127. 44 indexed citations

Atwal, Gurinder S., Tomas Kirchhoff, Elisabeth E. Bond, et al.. (2009). Altered tumor formation and evolutionary selection of genetic variants in the human MDM4 oncogene. Proceedings of the National Academy of Sciences. 106(25). 10236–10241. 56 indexed citations

Bartel, Frank, et al.. (2008). Both Germ Line and Somatic Genetics of the p53 Pathway Affect Ovarian Cancer Incidence and Survival. Clinical Cancer Research. 14(1). 89–96. 52 indexed citations

Täubert, Helge, Frank Bartel, Thomas Greither, et al.. (2008). Association of HDM2 Transcript Levels with Age of Onset and Prognosis in Soft Tissue Sarcomas. Molecular Cancer Research. 6(10). 1575–1581. 8 indexed citations

Täubert, Helge, Peter Würl, Thomas Greither, et al.. (2007). Stem cell-associated genes are extremely poor prognostic factors for soft-tissue sarcoma patients. Oncogene. 26(50). 7170–7174. 43 indexed citations

Böhnke, Anja, et al.. (2007). [Both somatic and germline genetics of the TP53-pathway influence ovarian cancer incidence and survival].. PubMed. 91. 233–42. 4 indexed citations

Bartel, Frank, Anja Böhnke, Karen Blümke, et al.. (2005). Significance of HDMX‐S (or MDM4) mRNA splice variant overexpression and HDMX gene amplification on primary soft tissue sarcoma prognosis. International Journal of Cancer. 117(3). 469–475. 78 indexed citations

Böhnke, Anja, et al.. (2004). Role of p53 mutations, protein function and DNA damage for the radiosensitivity of human tumour cells. International Journal of Radiation Biology. 80(1). 53–63. 47 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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