Mathias Pawlak

2.2k citations
11 papers · 1.2k indexed · 2 hit papers · h-index 11
Topics
T-cell and B-cell Immunology (4 papers)Immune Cell Function and Interaction (4 papers)Immunodeficiency and Autoimmune Disorders (2 papers)

In The Last Decade

Mathias Pawlak

11 papers receiving 1.2k citations

Hit Papers

Checkpoint Blockade Immunotherapy Induces Dynamic Changes...201920262021202320192024100200300400

Peers

Mathias Pawlak
Comparison fields: 5 of 87
  • Immunology 596
  • Oncology 388
  • Molecular Biology 379
  • Neurology 113
  • Physiology 94
Replace Mitsuhiro Kanamori with:
Mitsuhiro Kanamori Japan
Setsuko Mise‐Omata Japan
Sarah Mundt Switzerland
Gábor Gyülvészi Switzerland
Geraldine Flynn United Kingdom
Fengyang Lei United States
Sheena Pinto Germany
Christopher Sie Germany
Marvin M. van Luijn Netherlands
Kathrine E. Attfield United Kingdom
Mathias Pawlak relative to Mitsuhiro Kanamori Japan Mitsuhiro Kanamori's profile →
Citations per field
00.5×2.9×
Mitsuhiro Kanamori · 1×
Citations per year

Countries citing papers authored by Mathias Pawlak

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Pawlak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Pawlak

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1
A mouse DRG genetic toolkit reveals morphological and physiological diversity of somatosensory neuron subtypesbreakdown →
59
2 27
3 121
4 157
5 32
6 55
7
Checkpoint Blockade Immunotherapy Induces Dynamic Changes in PD-1−CD8+ Tumor-Infiltrating T Cellsbreakdown →
401
8 58
9 82
10 82
11 105

About Mathias Pawlak

Mathias Pawlak is a scholar working on Immunology, Neurology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (596 citations), Oncology (388 citations) and Neurology (113 citations). Mathias Pawlak has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Vijay K. Kuchroo, Rudolf Jaenisch, Aviv Regev, Danielle Dionne, Orit Rozenblatt–Rosen, Gerd Meyer zu Hörste, Jackson Nyman, Ana C. Anderson, Giulia Escobar and Elena Christian. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

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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