Patrick Mucka

973 total citations · 1 hit paper
9 papers, 740 citations indexed

About

Patrick Mucka is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Patrick Mucka has authored 9 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Patrick Mucka's work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Lymphatic System and Diseases (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Patrick Mucka is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (2 papers), Lymphatic System and Diseases (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Patrick Mucka collaborates with scholars based in United States, Germany and South Korea. Patrick Mucka's co-authors include Joseph G. Kern, Nicole Anderson, Hui Feng, Umut Özcan, Mario Andrés Salazar Hernández, Jaemin Lee, Dorina Ibi, Jae Won Choi, Xudong Feng and Junli Liu and has published in prestigious journals such as Cell, Nature Medicine and Development.

In The Last Decade

Patrick Mucka

9 papers receiving 732 citations

Hit Papers

The emerging role and targetability of the TCA cycle in c... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick Mucka United States 7 433 262 110 110 72 9 740
Junfei Gu China 19 552 1.3× 205 0.8× 92 0.8× 68 0.6× 50 0.7× 42 879
Runmin Guo China 19 504 1.2× 241 0.9× 79 0.7× 119 1.1× 39 0.5× 43 1.0k
Jung Seok Hwang South Korea 18 476 1.1× 135 0.5× 81 0.7× 161 1.5× 62 0.9× 51 856
Xiaomei Bao China 14 382 0.9× 107 0.4× 91 0.8× 64 0.6× 82 1.1× 24 801
Gi‐Ryang Kweon South Korea 17 478 1.1× 243 0.9× 231 2.1× 107 1.0× 55 0.8× 26 1.0k
Huizhen Zhao United States 12 421 1.0× 167 0.6× 65 0.6× 85 0.8× 79 1.1× 18 755
Anqi Ge China 17 472 1.1× 238 0.9× 91 0.8× 101 0.9× 37 0.5× 49 928
Lina Xuan China 16 557 1.3× 331 1.3× 71 0.6× 41 0.4× 52 0.7× 33 998
Seung Hun Jeong South Korea 17 546 1.3× 178 0.7× 61 0.6× 95 0.9× 51 0.7× 33 854
Jeongsu Han South Korea 19 545 1.3× 276 1.1× 254 2.3× 124 1.1× 45 0.6× 32 1.1k

Countries citing papers authored by Patrick Mucka

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Mucka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Mucka

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

All Works

9 of 9 papers shown
1.
Mucka, Patrick, Peter Lindemann, Michael Willenbrock, et al.. (2023). CLK2 and CLK4 are regulators of DNA damage-induced NF-κB targeted by novel small molecule inhibitors. Cell chemical biology. 30(10). 1303–1312.e3. 5 indexed citations
2.
Klotz, Christian, Séverine Kunz, Marina Kolesnichenko, et al.. (2021). NF-κB determines Paneth versus goblet cell fate decision in the small intestine. Development. 148(21). 11 indexed citations
3.
Lee, Jaemin, et al.. (2017). PGC-1α functions as a co-suppressor of XBP1s to regulate glucose metabolism. Molecular Metabolism. 7. 119–131. 28 indexed citations
4.
Anderson, Nicole, Patrick Mucka, Joseph G. Kern, & Hui Feng. (2017). The emerging role and targetability of the TCA cycle in cancer metabolism. Protein & Cell. 9(2). 216–237. 399 indexed citations breakdown →
5.
Mucka, Patrick, Elena Geretti, Bernadette Zwaans, et al.. (2016). Inflammation and Lymphedema Are Exacerbated and Prolonged by Neuropilin 2 Deficiency. American Journal Of Pathology. 186(11). 2803–2812. 27 indexed citations
6.
Lee, Jaemin, Junli Liu, Xudong Feng, et al.. (2016). Withaferin A is a leptin sensitizer with strong antidiabetic properties in mice. Nature Medicine. 22(9). 1023–1032. 175 indexed citations
7.
Liu, Junli, Dorina Ibi, Koji Taniguchi, et al.. (2016). Inflammation Improves Glucose Homeostasis through IKKβ-XBP1s Interaction. Cell. 167(4). 1052–1066.e18. 79 indexed citations
8.
Bilici, Saniye, et al.. (2015). Energy expenditure and nutritional status of coal miners: A cross-sectional study. Archives of Environmental & Occupational Health. 71(5). 293–299. 5 indexed citations
9.
Mucka, Patrick, et al.. (2014). Lymphangiogenesis and metastasis—A closer look at the neuropilin/semaphorin3 axis. Microvascular Research. 96. 68–76. 11 indexed citations

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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