Anna Ruckdeschel

403 total citations
8 papers, 177 citations indexed

About

Anna Ruckdeschel is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Anna Ruckdeschel has authored 8 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Anna Ruckdeschel's work include Multiple Myeloma Research and Treatments (4 papers), Nanoparticle-Based Drug Delivery (2 papers) and CAR-T cell therapy research (2 papers). Anna Ruckdeschel is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), Nanoparticle-Based Drug Delivery (2 papers) and CAR-T cell therapy research (2 papers). Anna Ruckdeschel collaborates with scholars based in Germany, Italy and United States. Anna Ruckdeschel's co-authors include Stephan Kissler, Cornelia Schuster, Kevin Boerner, Kilian Schober, Thomas Serwold, Mi‐Jeong Kim, Hermann Einsele, Andreas Rosenwald, Antonio Giovanni Solimando and Zeinab Mokhtari and has published in prestigious journals such as Blood, Immunity and Frontiers in Immunology.

In The Last Decade

Anna Ruckdeschel

8 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Ruckdeschel Germany	5	69	59	53	43	27	8	177
Stephanie Massaro United States	5	79 1.1×	46 0.8×	69 1.3×	62 1.4×	15 0.6×	10	210
Ciarán J. Mooney Ireland	8	96 1.4×	66 1.1×	36 0.7×	110 2.6×	18 0.7×	8	262
Liat Anafi Israel	7	105 1.5×	79 1.3×	37 0.7×	28 0.7×	24 0.9×	10	223
Barbara Castagnari Italy	10	70 1.0×	74 1.3×	54 1.0×	124 2.9×	16 0.6×	14	227
Anaïs Jiménez-Reinoso Spain	9	97 1.4×	88 1.5×	96 1.8×	20 0.5×	19 0.7×	15	243
James M. Cherry United States	7	104 1.5×	144 2.4×	42 0.8×	20 0.5×	13 0.5×	12	282
Zuyu Liang China	7	121 1.8×	119 2.0×	81 1.5×	22 0.5×	14 0.5×	12	281
Souichiro Nakano Japan	9	34 0.5×	229 3.9×	38 0.7×	29 0.7×	24 0.9×	21	322
Caroline Alvares United Kingdom	9	134 1.9×	30 0.5×	55 1.0×	120 2.8×	16 0.6×	20	252
Susanne Diener Germany	6	47 0.7×	51 0.9×	44 0.8×	14 0.3×	34 1.3×	8	148

Countries citing papers authored by Anna Ruckdeschel

Since Specialization

Citations

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

Fields of papers citing papers by Anna Ruckdeschel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Ruckdeschel

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Leipold, Alexander M., Rudolf A. Werner, Xiang Zhou, et al.. (2023). Th17.1 cell driven sarcoidosis-like inflammation after anti-BCMA CAR T cells in multiple myeloma. Leukemia. 37(3). 650–658. 22 indexed citations

2.

Schuster, Cornelia, Badr Kiaf, Anna Ruckdeschel, et al.. (2022). CD5 Controls Gut Immunity by Shaping the Cytokine Profile of Intestinal T Cells. Frontiers in Immunology. 13. 906499–906499. 2 indexed citations

3.

Leipold, Alexander M., Rudolf A. Werner, Johannes Duell, et al.. (2022). Pseudoprogression and Sarcoidosis-like Phenomena after CART-Cells and Bispecific Antibodies in Multiple Myeloma. Blood. 140(Supplement 1). 10020–10021. 2 indexed citations

4.

Zhou, Xiang, Anna Ruckdeschel, Sophia Danhof, et al.. (2021). Salvage therapy with “Dara‐KDT‐P(A)CE” in heavily pretreated, high‐risk, proliferative, relapsed/refractory multiple myeloma. Hematological Oncology. 40(2). 202–211. 10 indexed citations

5.

Solimando, Antonio Giovanni, Andreas Brandl, Katharina Mattenheimer, et al.. (2017). JAM-A as a prognostic factor and new therapeutic target in multiple myeloma. Leukemia. 32(3). 736–743. 53 indexed citations

6.

Solimando, Antonio Giovanni, Andreas Brandl, Katharina Mattenheimer, et al.. (2016). JAM-A as a Prognostic Factor and New Therapeutic Target in Multiple Myeloma. Blood. 128(22). 307–307. 8 indexed citations

7.

Schuster, Cornelia, Kilian Schober, Kevin Boerner, et al.. (2015). The Autoimmunity-Associated Gene CLEC16A Modulates Thymic Epithelial Cell Autophagy and Alters T Cell Selection. Immunity. 42(5). 942–952. 76 indexed citations

8.

Albrecht, Wolfgang, et al.. (1970). Über die Existenz einer unbekannten natürlichen α-Aktivität im 4,3 – 4,6 MeV-Bereich. Zeitschrift für Naturforschung A. 25(1). 79–87. 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.

Explore authors with similar magnitude of impact