Miriam Walter

1.3k total citations
31 papers, 908 citations indexed

About

Miriam Walter is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Miriam Walter has authored 31 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Immunology and 9 papers in Oncology. Recurrent topics in Miriam Walter's work include Mast cells and histamine (8 papers), CAR-T cell therapy research (7 papers) and Chemical Synthesis and Analysis (5 papers). Miriam Walter is often cited by papers focused on Mast cells and histamine (8 papers), CAR-T cell therapy research (7 papers) and Chemical Synthesis and Analysis (5 papers). Miriam Walter collaborates with scholars based in Germany, United States and United Arab Emirates. Miriam Walter's co-authors include Holger Stark, Bassem Sadek, Ryan Urak, Xiuli Wang, Stephen J. Forman, Laura Lim, Sandra H. Thomas, ChingLam W. Wong, Matthias Rupp and Felix Reisen and has published in prestigious journals such as Blood, Clinical Cancer Research and Science Advances.

In The Last Decade

Miriam Walter

31 papers receiving 893 citations

Peers

Miriam Walter
Comparison fields: 5 of 93
  • Molecular Biology 463
  • Immunology 300
  • Oncology 275
  • Computational Theory and Mathematics 161
  • Biomedical Engineering 112
Replace Aleksandr V. Sokolov with:
Aleksandr V. Sokolov Sweden
Laura E. Kilpatrick United Kingdom
Gabriela E. Davey Switzerland
Andreas Langer Germany
N.J. Robertson United Kingdom
Naveed Iqbal United States
Chih Hung Lo United States
Chun‐Yi Wu United States
Ken Ito Japan
Eileen J. Kennedy United States
Aleksandr V. Sokolov Sweden View profile →
Citations per field, relative to Miriam Walter
Miriam Walter · 1×
Citations per year, relative to Miriam Walter
Miriam Walter · 1×

Countries citing papers authored by Miriam Walter

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Walter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Walter

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Walter. A scholar is included among the top collaborators of Miriam Walter 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 Miriam Walter. Miriam Walter 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
# Work Indexed citations
1 13
2 9
3 1
4 10
5 149
6 85
7 10
8 23
9 21
10 1
11 70
12 47
13 30
14 181
15 34
16 16
17 13
18 19
19 21
20 8

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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