Daniel A. Keesler

414 total citations
9 papers, 221 citations indexed

About

Daniel A. Keesler is a scholar working on Hematology, Surgery and Genetics. According to data from OpenAlex, Daniel A. Keesler has authored 9 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 5 papers in Surgery and 3 papers in Genetics. Recurrent topics in Daniel A. Keesler's work include Hematopoietic Stem Cell Transplantation (5 papers), Hemoglobinopathies and Related Disorders (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Daniel A. Keesler is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Hemoglobinopathies and Related Disorders (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Daniel A. Keesler collaborates with scholars based in United States, India and China. Daniel A. Keesler's co-authors include Mary Eapen, Veronica H. Flood, Jaap Jan Boelens, Mark C. Walters, Shalini Shenoy, Jeanette Carreras, Gregory M.T. Guilcher, Courtney D. Fitzhugh, John F. Tisdale and Naynesh Kamani and has published in prestigious journals such as Blood, Haematologica and Biology of Blood and Marrow Transplantation.

In The Last Decade

Daniel A. Keesler

9 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Keesler United States 6 163 110 65 36 33 9 221
Franco Locatelli Italy 2 240 1.5× 231 2.1× 132 2.0× 37 1.0× 20 0.6× 4 321
Judith Marsh United Kingdom 3 251 1.5× 132 1.2× 85 1.3× 36 1.0× 78 2.4× 6 302
Kyle Hebert United States 6 143 0.9× 78 0.7× 34 0.5× 54 1.5× 17 0.5× 13 191
Maria Grazia Orofino Italy 8 235 1.4× 235 2.1× 135 2.1× 34 0.9× 59 1.8× 12 363
Tiffani Taylor United States 6 132 0.8× 166 1.5× 101 1.6× 30 0.8× 13 0.4× 12 268
M. Akif Yeşilipek Türkiye 9 88 0.5× 91 0.8× 76 1.2× 12 0.3× 17 0.5× 22 176
Hai-Lin Wang United States 5 317 1.9× 72 0.7× 41 0.6× 93 2.6× 90 2.7× 5 372
P Bavaro Italy 6 250 1.5× 92 0.8× 56 0.9× 94 2.6× 61 1.8× 18 297
Lydia Foeken United States 6 115 0.7× 43 0.4× 20 0.3× 35 1.0× 39 1.2× 12 165
Nadira Azzi Belgium 8 91 0.6× 137 1.2× 80 1.2× 37 1.0× 30 0.9× 12 249

Countries citing papers authored by Daniel A. Keesler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Keesler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Keesler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Keesler. A scholar is included among the top collaborators of Daniel A. Keesler 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 Daniel A. Keesler. Daniel A. Keesler 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.
2.
Keesler, Daniel A., et al.. (2021). Fibronectin binding to von Willebrand factor occurs via the A1 domain. Research and Practice in Thrombosis and Haemostasis. 5(5). e12534–e12534. 5 indexed citations
3.
Flood, Veronica H., Daniel A. Keesler, Scot A. Fahs, et al.. (2020). von Willebrand factor binding to myosin assists in coagulation. Blood Advances. 4(1). 174–180. 5 indexed citations
4.
Li, Chunfu, Vikram Mathews, Soyoung Kim, et al.. (2019). Related and unrelated donor transplantation for β-thalassemia major: results of an international survey. Blood Advances. 3(17). 2562–2570. 48 indexed citations
5.
Li, Chunfu, Vikram Mathews, Biju George, et al.. (2018). Related and Unrelated Donor Transplantation for β Thalassemia Major: Results of an International Survey. Blood. 132(Supplement 1). 308–308. 1 indexed citations
6.
Keesler, Daniel A., Andrew St. Martin, Carmem Bonfim, et al.. (2018). Bone Marrow versus Peripheral Blood from Unrelated Donors for Children and Adolescents with Acute Leukemia. Biology of Blood and Marrow Transplantation. 24(12). 2487–2492. 12 indexed citations
7.
McCurdy, Shannon R., Mei-Jie Zhang, Andrew St. Martin, et al.. (2018). Effect of donor characteristics on haploidentical transplantation with posttransplantation cyclophosphamide. Blood Advances. 2(3). 299–307. 55 indexed citations
8.
Keesler, Daniel A. & Veronica H. Flood. (2017). Current issues in diagnosis and treatment of von Willebrand disease. Research and Practice in Thrombosis and Haemostasis. 2(1). 34–41. 21 indexed citations
9.
Abraham, Allistair, Matthew M. Hsieh, Mary Eapen, et al.. (2017). Relationship between Mixed Donor–Recipient Chimerism and Disease Recurrence after Hematopoietic Cell Transplantation for Sickle Cell Disease. Biology of Blood and Marrow Transplantation. 23(12). 2178–2183. 72 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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