Zandra Klippel

1.1k total citations · 1 hit paper
34 papers, 790 citations indexed

About

Zandra Klippel is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Zandra Klippel has authored 34 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 17 papers in Hematology and 10 papers in Molecular Biology. Recurrent topics in Zandra Klippel's work include Multiple Myeloma Research and Treatments (17 papers), Neutropenia and Cancer Infections (14 papers) and Blood disorders and treatments (9 papers). Zandra Klippel is often cited by papers focused on Multiple Myeloma Research and Treatments (17 papers), Neutropenia and Cancer Infections (14 papers) and Blood disorders and treatments (9 papers). Zandra Klippel collaborates with scholars based in United States, France and Greece. Zandra Klippel's co-authors include Meletios Α. Dimopoulos, Anita Zahlten‐Kumeli, Saad Z. Usmani, David S. Siegel, María‐Victoria Mateos, Katja Weisel, Hui Yang, Ola Landgren, Xavier Leleu and Hang Quach and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

Zandra Klippel

31 papers receiving 771 citations

Hit Papers

Carfilzomib, dexamethasone, and daratumumab versus carfil... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zandra Klippel United States 14 523 505 436 71 64 34 790
Ghulam Rehman Mohyuddin United States 13 342 0.7× 317 0.6× 226 0.5× 35 0.5× 42 0.7× 129 629
Adam Waxman United States 12 534 1.0× 470 0.9× 422 1.0× 30 0.4× 150 2.3× 32 935
Philippe Rodon France 9 483 0.9× 356 0.7× 433 1.0× 25 0.4× 30 0.5× 29 698
Niels Frost Andersen Denmark 17 371 0.7× 294 0.6× 425 1.0× 13 0.2× 105 1.6× 42 756
Bradley Augustson Australia 11 502 1.0× 312 0.6× 282 0.6× 18 0.3× 85 1.3× 43 684
Howard R. Terebelo United States 14 473 0.9× 309 0.6× 312 0.7× 16 0.2× 93 1.5× 74 716
Nicole A. Carreau United States 9 410 0.8× 159 0.3× 157 0.4× 41 0.6× 73 1.1× 12 677
Anne‐Marie Stoppa France 19 1.2k 2.2× 592 1.2× 756 1.7× 34 0.5× 216 3.4× 54 1.4k
S Kulkarni United Kingdom 18 692 1.3× 334 0.7× 256 0.6× 20 0.3× 129 2.0× 32 810
Pamela Bartels United States 7 454 0.9× 198 0.4× 194 0.4× 29 0.4× 199 3.1× 10 740

Countries citing papers authored by Zandra Klippel

Since Specialization
Citations

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

Fields of papers citing papers by Zandra Klippel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zandra Klippel

This figure shows the co-authorship network connecting the top 25 collaborators of Zandra Klippel. A scholar is included among the top collaborators of Zandra Klippel 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 Zandra Klippel. Zandra Klippel 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.
Richardson, Paul G., Aurore Perrot, Joseph Mıkhael, et al.. (2024). Allocation and validation of the second revision of the International Staging System in the ICARIA-MM and IKEMA studies. Blood Cancer Journal. 14(1). 209–209. 3 indexed citations
2.
Perrot, Aurore, Paul G. Richardson, Joseph Mıkhael, et al.. (2023). P968: ALLOCATION AND VALIDATION OF THE SECOND REVISION OF THE INTERNATIONAL STAGING SYSTEM IN THE ICARIA-MM AND IKEMA STUDIES. HemaSphere. 7(S3). e3398301–e3398301. 1 indexed citations
3.
Macé, Sandrine, et al.. (2023). Blood-Based Mass Spectrometry MRD Tracking (M-InSight) in Multiple Myeloma Patients from Clinical Trial NCT02513186. Blood. 142(Supplement 1). 3360–3360. 1 indexed citations
4.
Dimopoulos, Meletios Α., Hang Quach, María‐Victoria Mateos, et al.. (2020). Carfilzomib, dexamethasone, and daratumumab versus carfilzomib and dexamethasone for patients with relapsed or refractory multiple myeloma (CANDOR): results from a randomised, multicentre, open-label, phase 3 study. The Lancet. 396(10245). 186–197. 289 indexed citations breakdown →
6.
Shah, Jatin J., Saad Z. Usmani, Edward A. Stadtmauer, et al.. (2019). Oprozomib, pomalidomide, and Dexamethasone in Patients With Relapsed and/or Refractory Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 19(9). 570–578.e1. 22 indexed citations
7.
Façon, Thierry, Rubén Niesvizky, Katja Weisel, et al.. (2019). Carfilzomib (K) in relapsed and refractory multiple myeloma (RRMM): Frailty subgroup analysis from phase III ASPIRE and ENDEAVOR.. Journal of Clinical Oncology. 37(15_suppl). 8028–8028. 3 indexed citations
9.
Li, Yanli, et al.. (2018). A Study of Novel Febrile Neutropenia Risk Factors Related to Bone Marrow or Immune Suppression, Barrier Function, and Bacterial Flora. Journal of the National Comprehensive Cancer Network. 16(10). 1201–1208. 12 indexed citations
10.
Dale, David C., Jeffrey Crawford, Zandra Klippel, et al.. (2017). A systematic literature review of the efficacy, effectiveness, and safety of filgrastim. Supportive Care in Cancer. 26(1). 7–20. 58 indexed citations
11.
Façon, Thierry, Jae Hoon Lee, Philippe Moreau, et al.. (2017). Phase 3 Study (CLARION) of Carfilzomib, Melphalan, Prednisone (KMP) v Bortezomib, Melphalan, Prednisone (VMP) in Newly Diagnosed Multiple Myeloma (NDMM). Clinical Lymphoma Myeloma & Leukemia. 17(1). e26–e27. 30 indexed citations
12.
Li, Yanli, et al.. (2016). Trajectory of absolute neutrophil counts in patients treated with pegfilgrastim on the day of chemotherapy versus the day after chemotherapy. Cancer Chemotherapy and Pharmacology. 77(4). 703–712. 31 indexed citations
13.
Nordstrom, Beth, Jason C. Simeone, Karen G. Malley, et al.. (2016). Validation of Claims Algorithms for Progression to Metastatic Cancer in Patients with Breast, Non-small Cell Lung, and Colorectal Cancer. Frontiers in Oncology. 6. 18–18. 25 indexed citations
14.
Li, Yanli, et al.. (2016). Relationship between severity and duration of chemotherapy-induced neutropenia and risk of infection among patients with nonmyeloid malignancies. Supportive Care in Cancer. 24(10). 4377–4383. 34 indexed citations
18.
Linenberger, Michael, Leona Holmberg, Pamela S. Becker, et al.. (2015). Utilization of stored autologous PBSCs to support second autologous transplantation in multiple myeloma patients in the era of novel agent therapy. Bone Marrow Transplantation. 50(5). 663–667. 11 indexed citations
19.
Klippel, Zandra, Jeffrey Chou, Andrea Towlerton, et al.. (2014). Immune escape from NY-ESO-1-specific T-cell therapy via loss of heterozygosity in the MHC. Gene Therapy. 21(3). 337–342. 30 indexed citations
20.
Klippel, Zandra, Jeffrey Chou, Andrea Towlerton, et al.. (2013). Preclinical Evaluation Of Engineered T Cells In Multiple Myeloma: Uncovering a Mechanism Of Immune Escape. Blood. 122(21). 4205–4205.

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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