Ulf D. Kahlert

3.5k total citations · 1 hit paper
99 papers, 2.4k citations indexed

About

Ulf D. Kahlert is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ulf D. Kahlert has authored 99 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 35 papers in Cancer Research and 27 papers in Genetics. Recurrent topics in Ulf D. Kahlert's work include Glioma Diagnosis and Treatment (26 papers), MicroRNA in disease regulation (14 papers) and Cancer Cells and Metastasis (13 papers). Ulf D. Kahlert is often cited by papers focused on Glioma Diagnosis and Treatment (26 papers), MicroRNA in disease regulation (14 papers) and Cancer Cells and Metastasis (13 papers). Ulf D. Kahlert collaborates with scholars based in Germany, China and United States. Ulf D. Kahlert's co-authors include Jarek Maciaczyk, Guido Nikkhah, Charles G. Eberhart, Frank A.E. Kruyt, Justin V. Joseph, Daniel Hänggi, Abigail K. Suwala, Brent A. Orr, Eric H. Raabe and Hans‐Jakob Steiger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cell Metabolism and Cancer Research.

In The Last Decade

Ulf D. Kahlert

88 papers receiving 2.4k citations

Hit Papers

Glycometabolic reprogramming-induced XRCC1 lactylation co... 2024 2026 2025 2024 25 50 75

Peers

Ulf D. Kahlert
Comparison fields: 5 of 119
  • Molecular Biology 1.3k
  • Cancer Research 830
  • Genetics 589
  • Oncology 563
  • Immunology 236
Replace Bachchu Lal with:
Bachchu Lal United States
Deric M. Park United States
Ana C. deCarvalho United States
Benito Campos Germany
Fumiharu Ohka Japan
Bryan W. Day Australia
Hongyi Liu China
Remco J. Molenaar Netherlands
Giselle Y. López United States
Marta Mellai Italy
Bachchu Lal United States View profile →
Citations per field, relative to Ulf D. Kahlert
Ulf D. Kahlert · 1×
Citations per year, relative to Ulf D. Kahlert
Ulf D. Kahlert · 1×

Countries citing papers authored by Ulf D. Kahlert

Since Specialization
Citations

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

Fields of papers citing papers by Ulf D. Kahlert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulf D. Kahlert

This figure shows the co-authorship network connecting the top 25 collaborators of Ulf D. Kahlert. A scholar is included among the top collaborators of Ulf D. Kahlert 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 Ulf D. Kahlert. Ulf D. Kahlert 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 0
2 0
3 4
4 4
5
Glycometabolic reprogramming-induced XRCC1 lactylation confers therapeutic resistance in ALDH1A3-overexpressing glioblastoma breakdown →
92
6 1
7 0
8 1
9 3
10 1
11 11
12 35
13 5
14 0
15 17
16 12
17 8
18 4
19 20
20 137

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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