Dianna Hussmann

651 total citations
8 papers, 196 citations indexed

About

Dianna Hussmann is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Dianna Hussmann has authored 8 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Dianna Hussmann's work include Chronic Lymphocytic Leukemia Research (3 papers), Lung Cancer Research Studies (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Dianna Hussmann is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Lung Cancer Research Studies (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Dianna Hussmann collaborates with scholars based in Denmark, Poland and China. Dianna Hussmann's co-authors include Anders Lade Nielsen, Tina Vilsbøll, Lise Lotte Hansen, Kristine Raaby Jakobsen, Boe Sandahl Sørensen, Anne Tranberg Madsen, Yonglun Luo, Christina Demuth, Trine Skov Petersen and Henrik D. Pedersen and has published in prestigious journals such as Cellular and Molecular Life Sciences, Genomics and Oncotarget.

In The Last Decade

Dianna Hussmann

8 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dianna Hussmann Denmark	6	125	80	65	35	21	8	196
Jean-Pierre M. Ayoub Canada	8	160 1.3×	139 1.7×	63 1.0×	31 0.9×	29 1.4×	22	266
Louis Masclef Canada	5	138 1.1×	50 0.6×	37 0.6×	33 0.9×	26 1.2×	9	194
Xue Zheng China	5	122 1.0×	63 0.8×	29 0.4×	55 1.6×	30 1.4×	9	191
Deniz Demircioğlu United States	6	133 1.1×	40 0.5×	32 0.5×	56 1.6×	19 0.9×	12	204
Alborz Bejnood United States	2	106 0.8×	68 0.8×	102 1.6×	60 1.7×	31 1.5×	5	211
Kenneth Wha Eng United States	3	129 1.0×	39 0.5×	72 1.1×	80 2.3×	15 0.7×	4	187
Antonis Kokkalis Greece	5	120 1.0×	55 0.7×	18 0.3×	45 1.3×	9 0.4×	6	165
Laura P. Brandt Switzerland	5	147 1.2×	49 0.6×	86 1.3×	57 1.6×	9 0.4×	6	192
Till Eichenauer Germany	8	125 1.0×	55 0.7×	123 1.9×	64 1.8×	16 0.8×	13	211
Nicolas Dorvault France	7	161 1.3×	119 1.5×	46 0.7×	66 1.9×	12 0.6×	12	237

Countries citing papers authored by Dianna Hussmann

Since Specialization

Citations

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

Fields of papers citing papers by Dianna Hussmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianna Hussmann

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

All Works

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8 of 8 papers shown

Hussmann, Dianna, Anna Starnawska, Iben Daugaard, et al.. (2022). Methylation microarray-based detection of clinical copy-number aberrations in CLL benchmarked to standard FISH analysis. Genomics. 114(6). 110510–110510. 1 indexed citations

Hussmann, Dianna, Anna Starnawska, Iben Daugaard, et al.. (2021). IGHV-associated methylation signatures more accurately predict clinical outcomes of chronic lymphocytic leukemia patients than IGHV mutation load. Haematologica. 107(4). 877–886. 5 indexed citations

Vilsbøll, Tina, Dianna Hussmann, & Anders Lade Nielsen. (2019). PD ‐ L1 and PD ‐ L2 expression correlated genes in non‐small‐cell lung cancer. Cancer Communications. 39(1). 30–30. 57 indexed citations

Daugaard, Iben, Dianna Hussmann, Thomas Kielsgaard Kristensen, et al.. (2018). Chronic Lymphocytic Leukemia Patients with Heterogeneously or Fully Methylated LPL Promotor Display Longer Time to Treatment. Epigenomics. 10(9). 1155–1166. 4 indexed citations

Jakobsen, Kristine Raaby, Christina Demuth, Anne Tranberg Madsen, et al.. (2017). MET amplification and epithelial-to-mesenchymal transition exist as parallel resistance mechanisms in erlotinib-resistant, EGFR-mutated, NSCLC HCC827 cells. Oncogenesis. 6(4). e307–e307. 44 indexed citations

Hussmann, Dianna & Lise Lotte Hansen. (2017). Methylation-Sensitive High Resolution Melting (MS-HRM). Methods in molecular biology. 1708. 551–571. 32 indexed citations

Hussmann, Dianna, Anne Tranberg Madsen, Kristine Raaby Jakobsen, et al.. (2017). IGF1R depletion facilitates MET-amplification as mechanism of acquired resistance to erlotinib in HCC827 NSCLC cells. Oncotarget. 8(20). 33300–33315. 25 indexed citations

Zhou, Yan, Yong Liu, Dianna Hussmann, et al.. (2016). Enhanced genome editing in mammalian cells with a modified dual-fluorescent surrogate system. Cellular and Molecular Life Sciences. 73(13). 2543–2563. 28 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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