Daniel Hüebschmann

412 total citations
3 papers, 49 citations indexed

About

Daniel Hüebschmann is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Daniel Hüebschmann has authored 3 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Oncology. Recurrent topics in Daniel Hüebschmann's work include Multiple Myeloma Research and Treatments (2 papers), Genomics and Rare Diseases (1 paper) and Cancer Genomics and Diagnostics (1 paper). Daniel Hüebschmann is often cited by papers focused on Multiple Myeloma Research and Treatments (2 papers), Genomics and Rare Diseases (1 paper) and Cancer Genomics and Diagnostics (1 paper). Daniel Hüebschmann collaborates with scholars based in Germany, United States and Austria. Daniel Hüebschmann's co-authors include Barbara Hutter, Mirjam Blattner-Johnson, Stefan M. Pfister, Marcel Kool, Venu Thatikonda, Barbara C. Jones, Ludmil B. Alexandrov, Susanne Gröbner, S. M. Ashiqul Islam and Robert J. Autry and has published in prestigious journals such as Blood, Haematologica and Nature Cancer.

In The Last Decade

Daniel Hüebschmann

3 papers receiving 49 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Hüebschmann Germany	3	27	15	14	12	9	3	49
Sasi Arunachalam United States	6	48 1.8×	10 0.7×	25 1.8×	19 1.6×	25 2.8×	11	93
Christopher J. Yoon United States	5	50 1.9×	19 1.3×	25 1.8×	10 0.8×	9 1.0×	8	76
Taylor Chen United States	2	27 1.0×	10 0.7×	7 0.5×	12 1.0×	6 0.7×	3	42
Alex Hastie United States	5	34 1.3×	8 0.5×	20 1.4×	6 0.5×	22 2.4×	13	63
Cecilia A. Castellano United States	2	74 2.7×	23 1.5×	14 1.0×	8 0.7×	2 0.2×	4	89
Molly Went United Kingdom	4	29 1.1×	27 1.8×	10 0.7×	16 1.3×	12 1.3×	7	63
Julia Obländer Germany	4	31 1.1×	39 2.6×	6 0.4×	9 0.8×	12 1.3×	10	66
Tomáš Zikmund Czechia	5	108 4.0×	17 1.1×	17 1.2×	11 0.9×	10 1.1×	6	114
Matthew Myers United States	6	55 2.0×	12 0.8×	47 3.4×	13 1.1×	17 1.9×	8	78
Jens Wittner Germany	5	36 1.3×	10 0.7×	12 0.9×	6 0.5×	12 1.3×	9	73

Countries citing papers authored by Daniel Hüebschmann

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Hüebschmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hüebschmann

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

All Works

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3 of 3 papers shown

1.

Thatikonda, Venu, S. M. Ashiqul Islam, Robert J. Autry, et al.. (2023). Comprehensive analysis of mutational signatures reveals distinct patterns and molecular processes across 27 pediatric cancers. Nature Cancer. 4(2). 276–289. 33 indexed citations

2.

Giesen, Nicola, Nagarajan Paramasivam, Umut H. Toprak, et al.. (2022). Comprehensive genomic analysis of refractory multiple myeloma reveals a complex mutational landscape associated with drug resistance and novel therapeutic vulnerabilities. Haematologica. 107(8). 1891–1901. 12 indexed citations

3.

Poos, Alexandra M., Nicola Giesen, Nagarajan Paramasivam, et al.. (2020). Comprehensive Comparison of Early Relapse and End-Stage Relapsed Refractory Multiple Myeloma. Blood. 136(Supplement 1). 1–1. 4 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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