Yolanda D. Mahnke

8.8k citations
32 papers · 6.4k indexed · 3 hit papers · h-index 19
Topics
Immune Cell Function and Interaction (16 papers)Immunotherapy and Immune Responses (15 papers)T-cell and B-cell Immunology (15 papers)

In The Last Decade

Yolanda D. Mahnke

32 papers receiving 6.2k citations

Hit Papers

Chimeric Antigen Receptor T Cells for Sustained Remission...201320262017202120142013201510002.0k3.0k

Peers

Yolanda D. Mahnke
Comparison fields: 5 of 113
  • Oncology 4.4k
  • Immunology 2.6k
  • Molecular Biology 1.7k
  • Genetics 1.2k
  • Biomedical Engineering 1.1k
Replace Attilio Bondanza with:
Attilio Bondanza Italy
Rimas J. Orentas United States
Brigitte Sénéchal United States
Ulrike Koehl Germany
Hans J. Stauss United Kingdom
Cameron J. Turtle United States
Anne Chew United States
Mirjam H.M. Heemskerk Netherlands
Crystal L. Mackall United States
Richard A. Morgan United States
Yolanda D. Mahnke relative to Attilio Bondanza Italy Attilio Bondanza's profile →
Citations per field
00.5×2.8×
Attilio Bondanza · 1×
Citations per year

Countries citing papers authored by Yolanda D. Mahnke

Since Specialization
Citations

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

Fields of papers citing papers by Yolanda D. Mahnke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yolanda D. Mahnke. 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 Yolanda D. Mahnke. The network helps show where Yolanda D. Mahnke may publish in the future.

Co-authorship network of co-authors of Yolanda D. Mahnke

This figure shows the co-authorship network connecting the top 25 collaborators of Yolanda D. Mahnke. A scholar is included among the top collaborators of Yolanda D. Mahnke 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 Yolanda D. Mahnke. Yolanda D. Mahnke 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
#WorkIndexed citations
1 18
2 19
3 12
4 203
5
Chimeric Antigen Receptor T Cells against CD19 for Multiple Myelomabreakdown →
434
6 84
7 53
8 12
9 17
10 13
11 17
12 25
13 23
14 153
15 20
16 61
17 12
18
Characteristics of a potent tumor vaccine-induced secondary anti-tumor T cell response.
9
19 12
20 266

About Yolanda D. Mahnke

Yolanda D. Mahnke is a scholar working on Immunology, Virology and Oncology, having authored 32 papers that have together received 6.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), Immunotherapy and Immune Responses (15 papers) and T-cell and B-cell Immunology (15 papers). The work is most often cited by research in Oncology (4.4k citations), Immunology (2.6k citations) and Hematology (610 citations). Yolanda D. Mahnke has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Mario Roederer, Bruce L. Levine, Simon F. Lacey, J. Joseph Melenhorst, Zhaohui Zheng, Carl H. June, Vanessa Gonzalez, David T. Teachey, Nancy Bunin and Anne Chew. Their work appears in journals such as New England Journal of Medicine, Cell and Nature Medicine.

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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