Danny C. LeBert

626 total citations
10 papers, 436 citations indexed

About

Danny C. LeBert is a scholar working on Cell Biology, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Danny C. LeBert has authored 10 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cell Biology, 2 papers in Molecular Biology and 2 papers in Nature and Landscape Conservation. Recurrent topics in Danny C. LeBert's work include Zebrafish Biomedical Research Applications (7 papers), Physiological and biochemical adaptations (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). Danny C. LeBert is often cited by papers focused on Zebrafish Biomedical Research Applications (7 papers), Physiological and biochemical adaptations (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). Danny C. LeBert collaborates with scholars based in United States and Netherlands. Danny C. LeBert's co-authors include Anna Huttenlocher, Christina M. Freisinger, Sa Kan Yoo, Kevin W. Eliceiri, Jayne M. Squirrell, Julie Rindy, Annemarie H. Meijer, Anna Zakrzewska, Angela Gibson and Netta Golenberg and has published in prestigious journals such as The Journal of Cell Biology, Development and Journal of Cell Science.

In The Last Decade

Danny C. LeBert

8 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danny C. LeBert United States	8	169	138	123	76	40	10	436
Julie Rindy United States	8	120 0.7×	103 0.7×	108 0.9×	48 0.6×	28 0.7×	12	342
Yvette W. H. Koh United Kingdom	5	304 1.8×	110 0.8×	74 0.6×	30 0.4×	30 0.8×	7	480
Ji Won Oh South Korea	13	175 1.0×	153 1.1×	48 0.4×	71 0.9×	18 0.5×	31	605
Elsa Treffeisen United States	6	189 1.1×	156 1.1×	69 0.6×	262 3.4×	39 1.0×	10	637
Chae Ho Lim United States	13	278 1.6×	192 1.4×	52 0.4×	174 2.3×	29 0.7×	19	689
Ian A. McKay United Kingdom	13	332 2.0×	209 1.5×	116 0.9×	66 0.9×	30 0.8×	23	729
Matthew Wawersik United States	9	248 1.5×	192 1.4×	85 0.7×	76 1.0×	33 0.8×	14	505
Tianchi Xin United States	13	358 2.1×	183 1.3×	72 0.6×	31 0.4×	13 0.3×	18	606
Hao‐Ven Wang Taiwan	13	409 2.4×	274 2.0×	209 1.7×	24 0.3×	15 0.4×	24	836
Vuk Savković Germany	14	144 0.9×	50 0.4×	44 0.4×	47 0.6×	44 1.1×	36	444

Countries citing papers authored by Danny C. LeBert

Since Specialization

Citations

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

Fields of papers citing papers by Danny C. LeBert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny C. LeBert. 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 Danny C. LeBert. The network helps show where Danny C. LeBert may publish in the future.

Co-authorship network of co-authors of Danny C. LeBert

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

All Works

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10 of 10 papers shown

1.

LeBert, Danny C., et al.. (2023). An Affordable and Easy-to-Construct Zebrafish Housing System for Stable Long-Term Laboratory Research. Zebrafish. 20(6). 260–270. 1 indexed citations

2.

LeBert, Danny C., Jayne M. Squirrell, Julie Rindy, et al.. (2018). Damage-induced reactive oxygen species regulate vimentin and dynamic collagen-based projections to mediate wound repair. eLife. 7. 48 indexed citations

3.

Squirrell, Jayne M., et al.. (2017). Long-term Live Imaging Device for Improved Experimental Manipulation of Zebrafish Larvae. Journal of Visualized Experiments. 9 indexed citations

4.

Squirrell, Jayne M., et al.. (2017). Long-term Live Imaging Device for Improved Experimental Manipulation of Zebrafish Larvae. Journal of Visualized Experiments. 10 indexed citations

5.

Squirrell, Jayne M., et al.. (2016). zWEDGI: Wounding and Entrapment Device for Imaging Live Zebrafish Larvae. Zebrafish. 14(1). 42–50. 27 indexed citations

6.

LeBert, Danny C., Jayne M. Squirrell, Anna Huttenlocher, & Kevin W. Eliceiri. (2016). Second harmonic generation microscopy in zebrafish. Methods in cell biology. 133. 55–68. 20 indexed citations

7.

LeBert, Danny C., Jayne M. Squirrell, Julie Rindy, et al.. (2015). Matrix metalloproteinase 9 modulates collagen matrices and wound repair. Development. 142(12). 2136–2146. 104 indexed citations

8.

LeBert, Danny C., Jayne M. Squirrell, Julie Rindy, et al.. (2015). Matrix metalloproteinase 9 modulates collagen matrices and wound repair. Journal of Cell Science. 128(13). e1.1–e1.1.

9.

LeBert, Danny C. & Anna Huttenlocher. (2014). Inflammation and wound repair. Seminars in Immunology. 26(4). 315–320. 55 indexed citations

10.

Yoo, Sa Kan, Christina M. Freisinger, Danny C. LeBert, & Anna Huttenlocher. (2012). Early redox, Src family kinase, and calcium signaling integrate wound responses and tissue regeneration in zebrafish. The Journal of Cell Biology. 199(2). 225–234. 162 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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