Inka Pawlitzky

1.2k citations
12 papers · 1.0k indexed · 1 hit paper · h-index 8

Inka Pawlitzky

12 papers receiving 1.0k citations

Hit Papers

Sonic Hedgehog–Regulated Oligodendrocyte Lineage Genes En...6992000202620082017200400600

Peers

Inka Pawlitzky
Comparison fields: 5 of 66
  • Developmental Neuroscience 538
  • Cancer Research 200
  • Genetics 120
  • Cellular and Molecular Neuroscience 193
  • Molecular Biology 668
Replace Celia Andreu-Agulló with:
Celia Andreu-Agulló United States
Doğukan Mizrak United States
Dongin Yuk United States
Yong‐Xing Zhou United States
Shu-Mien Chuang Taiwan
Hedong Li United States
Cathy Soula France
Q. Richard Lu China
Jinxiang Dai United States
S. Sanzone Italy
Inka Pawlitzky relative to Celia Andreu-Agulló United States Celia Andreu-Agulló's profile →
Citations per field
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Citations per year

Countries citing papers authored by Inka Pawlitzky

Since Specialization
Citations

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

Fields of papers citing papers by Inka Pawlitzky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Inka Pawlitzky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inka Pawlitzky Line = papers co-authored together Inka Pawlitzky links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20252
2 20241
3 20232
4 20221
5 202137
6 201646
7 201336
8 201010
9 200620
10 200177
11 200079
12
Sonic Hedgehog–Regulated Oligodendrocyte Lineage Genes Encoding bHLH Proteins in the Mammalian Central Nervous Systembreakdown →
2000699

About Inka Pawlitzky

Inka Pawlitzky is a scholar working on Developmental Neuroscience, Hematology and Genetics, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Epigenetics and DNA Methylation (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Immunotherapy and Immune Responses (2 papers), Immune cells in cancer (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Developmental Neuroscience (538 citations), Cancer Research (200 citations) and Genetics (120 citations). Inka Pawlitzky has collaborated with scholars based in United States, Finland and Netherlands. Frequent co-authors include Charles D. Stiles, John A. Alberta, David H. Rowitch, Joanne Chan, Zhimin Zhu, Andrew P. McMahon, Q. Richard Lu, Thomas M. Roberts, S. L. Pomeroy and Larry I. Benowitz. Their work appears in journals such as Neuron, Blood and The Journal of Immunology.

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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