Liming Milbauer

1.3k total citations · 1 hit paper
25 papers, 1.0k citations indexed

About

Liming Milbauer is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Liming Milbauer has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Genetics and 4 papers in Cell Biology. Recurrent topics in Liming Milbauer's work include Hemoglobinopathies and Related Disorders (10 papers), Angiogenesis and VEGF in Cancer (4 papers) and Renal and related cancers (3 papers). Liming Milbauer is often cited by papers focused on Hemoglobinopathies and Related Disorders (10 papers), Angiogenesis and VEGF in Cancer (4 papers) and Renal and related cancers (3 papers). Liming Milbauer collaborates with scholars based in United States, Taiwan and Japan. Liming Milbauer's co-authors include Robert P. Hebbel, Fuad Abdulla, Julia Nguyen, John D. Belcher, Gregory M. Vercellotti, Karl A. Nath, Chunsheng Chen, Abdu I. Alayash, Ann Smith and Anna Solovey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The FASEB Journal.

In The Last Decade

Liming Milbauer

25 papers receiving 1.0k citations

Hit Papers

Heme triggers TLR4 signaling leading to endothelial cell ... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liming Milbauer United States 13 505 421 366 215 139 25 1.0k
Carla Casu United States 20 1.1k 2.1× 310 0.7× 1.1k 2.9× 440 2.0× 46 0.3× 50 1.7k
Sara Gardenghi United States 18 1.2k 2.3× 288 0.7× 1.1k 3.1× 396 1.8× 31 0.2× 35 1.6k
Orly Zelig Israel 15 117 0.2× 172 0.4× 299 0.8× 270 1.3× 48 0.3× 35 877
Antonia Graja Germany 10 188 0.4× 335 0.8× 162 0.4× 364 1.7× 51 0.4× 10 913
Francisco Bautista Spain 18 325 0.6× 329 0.8× 144 0.4× 157 0.7× 14 0.1× 74 1.1k
Toshiyuki Imasawa Japan 18 120 0.2× 511 1.2× 60 0.2× 97 0.5× 67 0.5× 61 1.1k
Yangang Liu China 14 121 0.2× 462 1.1× 271 0.7× 77 0.4× 53 0.4× 33 825
Laurent Burnier Switzerland 17 177 0.4× 475 1.1× 521 1.4× 173 0.8× 33 0.2× 28 1.3k
Anne‐Marie Jank Germany 4 183 0.4× 265 0.6× 162 0.4× 189 0.9× 30 0.2× 4 835
Chun‐Ming Pan China 16 132 0.3× 656 1.6× 355 1.0× 75 0.3× 17 0.1× 33 1.1k

Countries citing papers authored by Liming Milbauer

Since Specialization
Citations

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

Fields of papers citing papers by Liming Milbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Milbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Milbauer. A scholar is included among the top collaborators of Liming Milbauer 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 Liming Milbauer. Liming Milbauer 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
1.
Milbauer, Liming, et al.. (2024). Modelling Functional Thyroid Follicular Structures Using P19 Embryonal Carcinoma Cells. Cells. 13(22). 1844–1844. 2 indexed citations
2.
Lin, Yu‐Lung, et al.. (2023). A novel 3D bilayer hydrogel tri-culture system for studying functional motor units. Cell & Bioscience. 13(1). 168–168. 2 indexed citations
3.
Milbauer, Liming, et al.. (2023). Deleting Cellular Retinoic-Acid-Binding Protein-1 (Crabp1) Gene Causes Adult-Onset Primary Hypothyroidism in Mice. SHILAP Revista de lepidopterología. 4(1). 138–150. 7 indexed citations
4.
Milbauer, Liming, et al.. (2023). Targeting Cellular Retinoic Acid Binding Protein 1 with Retinoic Acid-like Compounds to Mitigate Motor Neuron Degeneration. International Journal of Molecular Sciences. 24(5). 4980–4980. 7 indexed citations
5.
Rudser, Kyle, Claudia K. Fox, Robert P. Hebbel, et al.. (2022). Relationship of Endothelial Microparticles to Obesity and Cardiovascular Disease Risk in Children and Adolescents. Journal of the American Heart Association. 11(22). e026430–e026430. 3 indexed citations
6.
Hebbel, Robert P., Peng Wei, Liming Milbauer, et al.. (2020). Abnormal Endothelial Gene Expression Associated With Early Coronary Atherosclerosis. Journal of the American Heart Association. 9(14). e016134–e016134. 23 indexed citations
9.
Shalumon, K.T., Liming Milbauer, R. Jayakumar, et al.. (2013). Poly (lactic acid)–chitosan–collagen composite nanofibers as substrates for blood outgrowth endothelial cells. International Journal of Biological Macromolecules. 58. 220–224. 23 indexed citations
10.
Belcher, John D., Chunsheng Chen, Julia Nguyen, et al.. (2013). Heme triggers TLR4 signaling leading to endothelial cell activation and vaso-occlusion in murine sickle cell disease. Blood. 123(3). 377–390. 525 indexed citations breakdown →
12.
Milbauer, Liming, Judy Enenstein, Anna Solovey, et al.. (2009). Blood outgrowth endothelial cell migration and trapping in vivo: a window into gene therapy. Translational research. 153(4). 179–189. 27 indexed citations
13.
Solovey, Anna, Rahn Kollander, Liming Milbauer, et al.. (2009). Endothelial nitric oxide synthase and nitric oxide regulate endothelial tissue factor expression in vivo in the sickle transgenic mouse. American Journal of Hematology. 85(1). 41–45. 33 indexed citations
14.
Enenstein, Judy, Liming Milbauer, Evidio Domingo‐Musibay, et al.. (2009). Proinflammatory phenotype with imbalance of KLF2 and RelA: Risk of childhood stroke with sickle cell anemia. American Journal of Hematology. 85(1). 18–23. 14 indexed citations
15.
Domingo‐Musibay, Evidio, Liming Milbauer, Judy Enenstein, Alexandra I. Wells, & Robert P. Hebbel. (2008). Association of Inflammatory Transcription Factors in Human Blood Outgrowth Endothelial Cells and Development of Stroke in Sickle Cell Disease. The FASEB Journal. 22(S2). 43–43. 1 indexed citations
16.
Nguyen, Julia, et al.. (2007). The establishment of murine blood outgrowth endothelial cells and observations relevant to gene therapy. Translational research. 150(1). 30–39. 28 indexed citations
17.
Dudek, Arkadiusz Z., Vidya Bodempudi, Piotr Jasiński, et al.. (2007). Systemic inhibition of tumour angiogenesis by endothelial cell-based gene therapy. British Journal of Cancer. 97(4). 513–522. 32 indexed citations
18.
Jiang, Aixiang, Wei Pan, Liming Milbauer, Yu Shyr, & Robert P. Hebbel. (2007). A PRACTICAL QUESTION BASED ON CROSS-PLATFORM MICROARRAY DATA NORMALIZATION: ARE BOEC MORE LIKE LARGE VESSEL OR MICROVASCULAR ENDOTHELIAL CELLS OR NEITHER OF THEM?. Journal of Bioinformatics and Computational Biology. 5(4). 875–893. 13 indexed citations
19.
Milbauer, Liming, Peng Wei, Judy Enenstein, et al.. (2007). Genetic endothelial systems biology of sickle stroke risk. Blood. 111(7). 3872–3879. 41 indexed citations
20.
Hebbel, Robert P., Aixiang Jiang, Cheryl A. Hillery, et al.. (2005). Genetic Influence on the Systems Biology of Sickle Stroke Risk Detected by Endothelial Gene Expression.. Blood. 106(11). 73–73. 1 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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