Sandra Maria Dold

714 total citations
9 papers, 255 citations indexed

About

Sandra Maria Dold is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Sandra Maria Dold has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Sandra Maria Dold's work include Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (4 papers) and Ubiquitin and proteasome pathways (3 papers). Sandra Maria Dold is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (4 papers) and Ubiquitin and proteasome pathways (3 papers). Sandra Maria Dold collaborates with scholars based in Germany, United States and Netherlands. Sandra Maria Dold's co-authors include Ralph Wäsch, Monika Engelhardt, Gabriele Ihorst, Stefan J. Müller, Heike Reinhardt, Pieter Sonneveld, Martin Schumacher, Corine Baayen, Hermann Einsele and Ola Landgren and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Frontiers in Oncology.

In The Last Decade

Sandra Maria Dold

9 papers receiving 251 citations

Peers

Sandra Maria Dold

HEMAT

MB

ONCOL

GG

CMN

Tuong Vi Nguyen Australia

Adrienne Howard United States

Rupali Bhave United States

Odoardo Maria Olimpieri Italy

Lene Hyldahl Ebbesen Denmark

Francesca Ferrara Italy

Daphne C. Thijssen‐Timmer Netherlands

Qiao‐Cheng Qiu China

Kenneth Anderson United States

L. Nolan United Kingdom

Tuong Vi Nguyen Australia

Sandra Maria Dold

117 ×0.6

HEMAT

128 ×0.9

MB

75 ×0.6

ONCOL

8 ×0.3

GG

2 ×0.1

CMN

Citations per year, relative to Sandra Maria Dold Sandra Maria Dold (= 1×) peers Tuong Vi Nguyen

Countries citing papers authored by Sandra Maria Dold

Since Specialization

Citations

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

Fields of papers citing papers by Sandra Maria Dold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra Maria Dold. 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 Sandra Maria Dold. The network helps show where Sandra Maria Dold may publish in the future.

Co-authorship network of co-authors of Sandra Maria Dold

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Maria Dold. A scholar is included among the top collaborators of Sandra Maria Dold 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 Sandra Maria Dold. Sandra Maria Dold 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

1.

Zeissig, Mara N., D. Hewett, Krzysztof M. Mrozik, et al.. (2024). Expression of the chemokine receptor CCR1 decreases sensitivity to bortezomib in multiple myeloma cell lines. Leukemia Research. 139. 107469–107469. 6 indexed citations

2.

Dold, Sandra Maria, Dagmar Wider, Marie Follo, et al.. (2021). Ten Color Multiparameter Flow Cytometry in Bone Marrow and Apheresis Products for Assessment and Outcome Prediction in Multiple Myeloma Patients. Frontiers in Oncology. 11. 708231–708231. 7 indexed citations

3.

Ihorst, Gabriele, Sandra Maria Dold, Hartmut Bertz, et al.. (2020). Physical activity is associated with less comorbidity, better treatment tolerance and improved response in patients with multiple myeloma undergoing stem cell transplantation. Journal of Geriatric Oncology. 12(4). 521–530. 21 indexed citations

4.

Engelhardt, Monika, et al.. (2018). Pomalidomide. Recent results in cancer research. 212. 169–185. 9 indexed citations

5.

Dold, Sandra Maria, Felix von Zweydorf, Christian Johannes Gloeckner, et al.. (2018). Physiological and pathophysiological characteristics of ataxin-3 isoforms. Journal of Biological Chemistry. 294(2). 644–661. 34 indexed citations

6.

Dold, Sandra Maria, et al.. (2018). Carfilzomib. Recent results in cancer research. 212. 265–283. 2 indexed citations

7.

Dold, Sandra Maria, Dagmar Wider, Marie Follo, et al.. (2018). Minimal Residual Disease (MRD) Analysis Using Multiparametric Flow Cytometry (MFC) and Identification of Differences in Subpopulations Using Next Generation Sequencing (NGS) in the Bone Marrow (BM) of Multiple Myeloma (MM) Patients (pts). Blood. 132(Supplement 1). 3222–3222. 1 indexed citations

8.

Müller, Stefan J., Dagmar Wider, Andreas Thomsen, et al.. (2017). Epigenetic Modifications of the Bone Marrow (BM) Niche in Multiple Myeloma (MM) - a Three-Dimensional (3D) in Vitro Approach. Blood. 130. 1793–1793. 1 indexed citations

9.

Engelhardt, Monika, Sandra Maria Dold, Gabriele Ihorst, et al.. (2017). A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients. Haematologica. 102(5). 910–921. 174 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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