Hector Macias

1.7k total citations · 1 hit paper
9 papers, 910 citations indexed

About

Hector Macias is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Hector Macias has authored 9 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Hector Macias's work include Cancer Cells and Metastasis (5 papers), Axon Guidance and Neuronal Signaling (3 papers) and Animal Genetics and Reproduction (2 papers). Hector Macias is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Axon Guidance and Neuronal Signaling (3 papers) and Animal Genetics and Reproduction (2 papers). Hector Macias collaborates with scholars based in United States and Australia. Hector Macias's co-authors include Lindsay Hinck, Angel Moran, Phyllis Strickland, William Sullivan, Anne Royou, Gwyndolen Harburg, Rebecca Marlow, Mikhail Binnewies, Xinyan Wu and Robert D. Cardiff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Cancer Research.

In The Last Decade

Hector Macias

9 papers receiving 905 citations

Hit Papers

Mammary gland development 2012 2026 2016 2021 2012 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
Hector Macias United States 7 474 292 175 146 114 9 910
Babak Behnam Iran 17 353 0.7× 118 0.4× 129 0.7× 112 0.8× 83 0.7× 51 783
P E Schwartz United States 14 364 0.8× 139 0.5× 239 1.4× 87 0.6× 104 0.9× 21 879
James W. DeWille United States 23 738 1.6× 326 1.1× 123 0.7× 178 1.2× 104 0.9× 38 1.2k
Roman Wernyj United States 10 442 0.9× 179 0.6× 91 0.5× 164 1.1× 106 0.9× 11 800
T. Sunyer United States 18 498 1.1× 193 0.7× 74 0.4× 110 0.8× 78 0.7× 29 1.0k
Wenrong Gong China 18 678 1.4× 296 1.0× 368 2.1× 248 1.7× 42 0.4× 24 1.3k
Adam Pickard United Kingdom 17 477 1.0× 188 0.6× 60 0.3× 106 0.7× 119 1.0× 27 828
Corinne Chadéneau France 15 516 1.1× 130 0.4× 112 0.6× 60 0.4× 50 0.4× 36 916
Carolina Pinzon‐Guzman United States 7 518 1.1× 148 0.5× 91 0.5× 111 0.8× 92 0.8× 13 802
T Hai United States 11 541 1.1× 153 0.5× 62 0.4× 182 1.2× 117 1.0× 15 884

Countries citing papers authored by Hector Macias

Since Specialization
Citations

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

Fields of papers citing papers by Hector Macias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hector Macias

This figure shows the co-authorship network connecting the top 25 collaborators of Hector Macias. A scholar is included among the top collaborators of Hector Macias 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 Hector Macias. Hector Macias 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.
Macias, Hector, et al.. (2020). Generation of Mosaic Mammary Organoids by Differential Trypsinization. Journal of Visualized Experiments. 5 indexed citations
2.
Macias, Hector, et al.. (2020). Generation of Mosaic Mammary Organoids by Differential Trypsinization. Journal of Visualized Experiments. 1 indexed citations
3.
Mouw, Janna K., Hector Macias, Angel Moran, et al.. (2016). Loss of miR-203 regulates cell shape and matrix adhesion through ROBO1/Rac/FAK in response to stiffness. The Journal of Cell Biology. 212(6). 707–719. 34 indexed citations
4.
Berger, Miles, David Scheel, Hector Macias, et al.. (2015). i/o -coupled receptor signaling restricts pancreatic β-cell expansion. Proceedings of the National Academy of Sciences. 112(9). 2888–2893. 56 indexed citations
5.
Macias, Hector & Lindsay Hinck. (2012). Mammary gland development. Wiley Interdisciplinary Reviews Developmental Biology. 1(4). 533–557. 556 indexed citations breakdown →
6.
Macias, Hector, et al.. (2011). SLIT/ROBO1 Signaling Suppresses Mammary Branching Morphogenesis by Limiting Basal Cell Number. Developmental Cell. 20(6). 827–840. 81 indexed citations
7.
Marlow, Rebecca, Phyllis Strickland, Ji Shin Lee, et al.. (2008). SLITs Suppress Tumor Growth In vivo by Silencing Sdf1/Cxcr4 within Breast Epithelium. Cancer Research. 68(19). 7819–7827. 106 indexed citations
8.
McKenna, William L., et al.. (2007). Netrin‐1‐independent adenosine A2b receptor activation regulates the response of axons to netrin‐1 by controlling cell surface levels of UNC5A receptors. Journal of Neurochemistry. 104(4). 1081–1090. 23 indexed citations
9.
Royou, Anne, Hector Macias, & William Sullivan. (2005). The Drosophila Grp/Chk1 DNA Damage Checkpoint Controls Entry into Anaphase. Current Biology. 15(4). 334–339. 48 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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