Donald M. Bryant

2.0k total citations
9 papers, 621 citations indexed

About

Donald M. Bryant is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biomaterials. According to data from OpenAlex, Donald M. Bryant has authored 9 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Biomaterials. Recurrent topics in Donald M. Bryant's work include Congenital heart defects research (4 papers), Developmental Biology and Gene Regulation (4 papers) and Cardiac Fibrosis and Remodeling (2 papers). Donald M. Bryant is often cited by papers focused on Congenital heart defects research (4 papers), Developmental Biology and Gene Regulation (4 papers) and Cardiac Fibrosis and Remodeling (2 papers). Donald M. Bryant collaborates with scholars based in United States. Donald M. Bryant's co-authors include Jessica L. Whited, Richard Lee, Joseph Gannon, Caitlin C. O’Meara, Lei Cai, James R. Monaghan, Caroline E. Burns, Calum A. MacRae, C. Geoffrey Burns and Long Zhao and has published in prestigious journals such as Circulation, Nature Communications and Development.

In The Last Decade

Donald M. Bryant

9 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donald M. Bryant United States	8	479	161	122	73	68	9	621
Jamie I. Morrison Sweden	10	508 1.1×	153 1.0×	42 0.3×	69 0.9×	54 0.8×	21	616
Hongorzul Davaapil United Kingdom	10	426 0.9×	142 0.9×	66 0.5×	58 0.8×	37 0.5×	13	752
Aysu Uygur United States	6	480 1.0×	135 0.8×	102 0.8×	31 0.4×	35 0.5×	7	642
Wen-Yee Choi United States	7	970 2.0×	146 0.9×	127 1.0×	29 0.4×	117 1.7×	7	1.2k
Kenta Nakamura United States	11	559 1.2×	299 1.9×	144 1.2×	109 1.5×	21 0.3×	23	866
Robert J. Major United States	7	653 1.4×	122 0.8×	95 0.8×	24 0.3×	156 2.3×	7	772
Berta Vidal United States	11	512 1.1×	126 0.8×	33 0.3×	23 0.3×	27 0.4×	19	775
Catherine Pfefferli Switzerland	9	407 0.8×	52 0.3×	51 0.4×	20 0.3×	67 1.0×	13	509
Phong D. Nguyen Australia	11	464 1.0×	94 0.6×	42 0.3×	24 0.3×	32 0.5×	16	624
Jérome Chal United States	11	1.2k 2.5×	234 1.5×	61 0.5×	35 0.5×	25 0.4×	14	1.4k

Countries citing papers authored by Donald M. Bryant

Since Specialization

Citations

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

Fields of papers citing papers by Donald M. Bryant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald M. Bryant. 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 Donald M. Bryant. The network helps show where Donald M. Bryant may publish in the future.

Co-authorship network of co-authors of Donald M. Bryant

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Sousounis, Konstantinos, Donald M. Bryant, Stephanie Tsai, et al.. (2020). Eya2 promotes cell cycle progression by regulating DNA damage response during vertebrate limb regeneration. eLife. 9. 23 indexed citations

2.

Leigh, Nicholas D., Garrett S. Dunlap, K.A. Johnson, et al.. (2018). Transcriptomic landscape of the blastema niche in regenerating adult axolotl limbs at single-cell resolution. Nature Communications. 9(1). 5153–5153. 112 indexed citations

3.

Natarajan, Niranjana, Donald M. Bryant, Juan Manuel González‐Rosa, et al.. (2018). Complement Receptor C5aR1 Plays an Evolutionarily Conserved Role in Successful Cardiac Regeneration. Circulation. 137(20). 2152–2165. 58 indexed citations

4.

Barakat, May, et al.. (2017). DiI Perfusion as a Method for Vascular Visualization in <em>Ambystoma mexicanum</em>. Journal of Visualized Experiments. 2 indexed citations

5.

Bryant, Donald M., et al.. (2017). Repeated removal of developing limb buds permanently reduces appendage size in the highly-regenerative axolotl. Developmental Biology. 424(1). 1–9. 30 indexed citations

6.

Bryant, Donald M., Konstantinos Sousounis, Duygu Payzin‐Dogru, et al.. (2017). Identification of regenerative roadblocks via repeat deployment of limb regeneration in axolotls. npj Regenerative Medicine. 2(1). 30–30. 42 indexed citations

7.

Bryant, Donald M., et al.. (2016). Neuregulin-1 signaling is essential for nerve-dependent axolotl limb regeneration. Development. 143(15). 2724–2731. 79 indexed citations

8.

Mahmoud, Ahmed I., Caitlin C. O’Meara, Matthew Gemberling, et al.. (2015). Nerves Regulate Cardiomyocyte Proliferation and Heart Regeneration. Developmental Cell. 34(4). 387–399. 190 indexed citations

9.

Bryant, Donald M., et al.. (2014). A systematic analysis of neonatal mouse heart regeneration after apical resection. Journal of Molecular and Cellular Cardiology. 79. 315–318. 85 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.

Explore authors with similar magnitude of impact