Frank A. Ferrone

4.3k total citations · 1 hit paper
86 papers, 3.5k citations indexed

About

Frank A. Ferrone is a scholar working on Genetics, Cell Biology and Physiology. According to data from OpenAlex, Frank A. Ferrone has authored 86 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Genetics, 59 papers in Cell Biology and 38 papers in Physiology. Recurrent topics in Frank A. Ferrone's work include Hemoglobinopathies and Related Disorders (62 papers), Hemoglobin structure and function (57 papers) and Erythrocyte Function and Pathophysiology (37 papers). Frank A. Ferrone is often cited by papers focused on Hemoglobinopathies and Related Disorders (62 papers), Hemoglobin structure and function (57 papers) and Erythrocyte Function and Pathophysiology (37 papers). Frank A. Ferrone collaborates with scholars based in United States, United Kingdom and Spain. Frank A. Ferrone's co-authors include William A. Eaton, James Hofrichter, Songming Chen, Ronald Wetzel, Marilyn F. Bishop, Helen R. Sunshine, Germán Rivas, Judith Herzfeld, Robin W. Briehl and Matthew S. Turner and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Frank A. Ferrone

83 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Kinetics of sickle hemoglobin polymerization

1985 418 citations Frank A. Ferrone et al. Journal of Molecular Biology profile →

Peers

Frank A. Ferrone

MB

PHYSI

GENET

CB

HEMAT

Herbert R. Halvorson United States

EA Evans Canada

Benjamin Smith United States

Naoya Shibayama Japan

Rohinton Edalji United States

H Metzger United States

Virgil Simplăceanu United States

M.C. Marden France

Massimo Malcovati Italy

Tobias S. Ulmer United States

Herbert R. Halvorson United States

Frank A. Ferrone

2.2k ×1.1

MB

231 ×0.2

PHYSI

105 ×0.1

GENET

597 ×0.6

CB

142 ×0.3

HEMAT

Citations per year, relative to Frank A. Ferrone Frank A. Ferrone (= 1×) peers Herbert R. Halvorson

Countries citing papers authored by Frank A. Ferrone

Since Specialization

Citations

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

Fields of papers citing papers by Frank A. Ferrone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank A. Ferrone. 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 Frank A. Ferrone. The network helps show where Frank A. Ferrone may publish in the future.

Co-authorship network of co-authors of Frank A. Ferrone

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

All Works

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20 of 20 papers shown

1.

Ferrone, Frank A., et al.. (2023). Voxelotor does not inhibit sickle hemoglobin fiber formation upon complete deoxygenation. Biophysical Journal. 122(13). 2782–2790. 1 indexed citations

2.

Loll, Patrick J., et al.. (2023). An α-chain modification rivals the effect of fetal hemoglobin in retarding the rate of sickle cell fiber formation. Scientific Reports. 13(1). 21997–21997.

3.

Bishop, Marilyn F. & Frank A. Ferrone. (2023). The Sickle-Cell Fiber Revisited. Biomolecules. 13(3). 413–413. 5 indexed citations

4.

Ferrone, Frank A.. (2018). Targeting HbS Polymerization. Seminars in Hematology. 55(2). 53–59. 5 indexed citations

5.

Aprelev, Alexey, et al.. (2016). Calibrating Sickle Cell Disease. Journal of Molecular Biology. 428(8). 1506–1514. 8 indexed citations

6.

Aprelev, Alexey, et al.. (2013). The Physical Foundation of Vaso-Occlusion in Sickle Cell Disease. Biophysical Journal. 104(2). 677a–677a. 1 indexed citations

7.

Yang, Guoliang, et al.. (2013). Non Linear Effects of Macromolecular Crowding on the Mechanical Unfolding of Proteins. Biophysical Journal. 104(2). 566a–566a. 1 indexed citations

8.

Briehl, Robin W., et al.. (2011). Nucleation of Sickle Hemoglobin Mixed with Hemoglobin A: Experimental and Theoretical Studies of Hybrid-Forming Mixtures. Biophysical Journal. 101(11). 2790–2797. 13 indexed citations

9.

Aprelev, Alexey, et al.. (2009). Ligand Binding and Sickle Hemoglobin Polymerization Kinetics: Implication for Therapies. Biophysical Journal. 96(3). 77a–77a. 1 indexed citations

10.

Ferrone, Frank A., et al.. (2008). The Double Nucleation Model for Sickle Cell Haemoglobin Polymerization: Full Integration and Comparison with Experimental Data. Acta Biotheoretica. 56(1-2). 103–122. 7 indexed citations

11.

Liu, Zenghui, Weijun Weng, Robert M. Bookchin, Virgilio L. Lew, & Frank A. Ferrone. (2008). Free Energy of Sickle Hemoglobin Polymerization: A Scaled-Particle Treatment for Use with Dextran as a Crowding Agent. Biophysical Journal. 94(9). 3629–3634. 19 indexed citations

12.

Turner, Matthew S., Gunjan Agarwal, Christopher W. Jones, et al.. (2006). Fiber Depolymerization. Biophysical Journal. 91(3). 1008–1013. 1 indexed citations

13.

Ferrone, Frank A.. (2004). Polymerization and Sickle Cell Disease: A Molecular View. Microcirculation. 11(2). 115–128. 67 indexed citations

14.

Vaiana, Sara M., et al.. (2004). Effect of T‐R conformational change on sickle‐cell hemoglobin interactions and aggregation. Proteins Structure Function and Bioinformatics. 58(2). 426–438. 14 indexed citations

15.

Agarwal, Gunjan, Suzanna Kwong, Scott M. Cohen, et al.. (2002). Sickle Hemoglobin Fibers: Mechanisms of Depolymerization. Journal of Molecular Biology. 322(2). 395–412. 14 indexed citations

16.

Ferrone, Frank A., et al.. (2002). Heterogeneous Nucleation and Crowding in Sickle Hemoglobin: An Analytic Approach. Biophysical Journal. 82(1). 399–406. 50 indexed citations

17.

Jasuja, Ravi, Robert Josephs, Zhiping Wang, et al.. (2001). Flexibility and nucleation in sickle hemoglobin 1 1Edited by M. F. Moody. Journal of Molecular Biology. 314(4). 851–861. 16 indexed citations

18.

Jiang, Jie, et al.. (1993). Allosteric kinetics and equilibria of triligated, cross-linked hemoglobin. Biophysical Journal. 64(5). 1520–1532. 4 indexed citations

19.

Jiang, Jie, et al.. (1993). Modulated excitation of singly ligated carboxyhemoglobin. Biophysical Journal. 65(5). 2059–2067. 4 indexed citations

20.

Ferrone, Frank A.. (1989). Kinetic Models and the Pathophysiology of Sickle Cell Disease^a. Annals of the New York Academy of Sciences. 565(1). 63–74. 9 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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