Leah Honor

81 total papers · 1.5k total citations
7 papers, 1.1k citations indexed

About

Leah Honor is a scholar working on Surgery, Molecular Biology and Cell Biology. According to data from OpenAlex, Leah Honor has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Leah Honor's work include Congenital heart defects research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Scientific Computing and Data Management (1 paper). Leah Honor is often cited by papers focused on Congenital heart defects research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Scientific Computing and Data Management (1 paper). Leah Honor collaborates with scholars based in United States, China and Germany. Leah Honor's co-authors include Bin Zhou, William T. Pu, Alexander von Gise, Qing Ma, Karin Schlegelmilch, Takahiro Ishiwata, Fernando D. Camargo, Zhiqiang Lin, Jessica N. Buck and Anna Petryk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Developmental Biology.

In The Last Decade

Leah Honor

7 papers receiving 1.1k citations

Hit Papers

YAP1, the nuclear target ... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Leah Honor 900 435 316 301 151 7 1.1k
Oren Yifa 837 0.9× 364 0.8× 361 1.1× 176 0.6× 74 0.5× 7 1.1k
Catherine A. Risebro 786 0.9× 387 0.9× 240 0.8× 226 0.8× 106 0.7× 15 1.1k
Kfir Baruch Umansky 811 0.9× 287 0.7× 241 0.8× 252 0.8× 58 0.4× 11 1.1k
Mauricio González‐Iriarte 727 0.8× 279 0.6× 166 0.5× 126 0.4× 210 1.4× 14 973
Takahiro Ishiwata 689 0.8× 202 0.5× 184 0.6× 304 1.0× 96 0.6× 13 938
Shima Arab 1.0k 1.1× 557 1.3× 534 1.7× 84 0.3× 108 0.7× 6 1.4k
H. Scott Baldwin 771 0.9× 162 0.4× 155 0.5× 143 0.5× 85 0.6× 8 965
Laura Pajak 873 1.0× 304 0.7× 351 1.1× 90 0.3× 70 0.5× 14 1.1k
Gaetano D’Amato 877 1.0× 153 0.4× 300 0.9× 122 0.4× 154 1.0× 17 1.1k
Suwannee Thet 857 1.0× 345 0.8× 222 0.7× 69 0.2× 65 0.4× 15 1.1k

Countries citing papers authored by Leah Honor

Since Specialization
Citations

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

Fields of papers citing papers by Leah Honor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leah Honor

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

All Works

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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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