David Wichlan

636 total citations
19 papers, 473 citations indexed

About

David Wichlan is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, David Wichlan has authored 19 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 8 papers in Genetics and 5 papers in Immunology. Recurrent topics in David Wichlan's work include Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (6 papers) and T-cell and B-cell Immunology (5 papers). David Wichlan is often cited by papers focused on Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (6 papers) and T-cell and B-cell Immunology (5 papers). David Wichlan collaborates with scholars based in United States and Australia. David Wichlan's co-authors include T P Hatch, Janice M. Riberdy, Kimberly A. Kasow, Rupert Handgretinger, Xiaohua Chen, James Knowles, Jeffrey E. Rubnitz, Vanessa Morales-Tirado, F G Behm and MV Relling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

David Wichlan

18 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Wichlan United States 10 162 159 119 113 87 19 473
Manuela Testi Italy 13 241 1.5× 157 1.0× 57 0.5× 67 0.6× 31 0.4× 23 479
Teresa Santostasi Italy 10 98 0.6× 44 0.3× 113 0.9× 61 0.5× 28 0.3× 20 338
Theresa Cole Australia 12 83 0.5× 276 1.7× 19 0.2× 56 0.5× 125 1.4× 47 490
Nicole B. Burger Netherlands 9 57 0.4× 110 0.7× 260 2.2× 62 0.5× 17 0.2× 24 460
Marie Balsat France 11 171 1.1× 37 0.2× 121 1.0× 34 0.3× 33 0.4× 41 332
AJ Cant United Kingdom 13 57 0.4× 310 1.9× 26 0.2× 77 0.7× 111 1.3× 22 507
K Kiossoglou United States 10 182 1.1× 42 0.3× 70 0.6× 97 0.9× 107 1.2× 24 463
Emilio Cuadrado Spain 9 63 0.4× 123 0.8× 41 0.3× 54 0.5× 72 0.8× 13 330
Valentina Marcellini Italy 10 46 0.3× 153 1.0× 77 0.6× 50 0.4× 32 0.4× 12 339
A d'Apice Australia 10 29 0.2× 58 0.4× 35 0.3× 95 0.8× 145 1.7× 32 404

Countries citing papers authored by David Wichlan

Since Specialization
Citations

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

Fields of papers citing papers by David Wichlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wichlan

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

All Works

19 of 19 papers shown
1.
Karafin, Matthew S., Ross M. Fasano, David Wichlan, et al.. (2025). Red cell physiologic stress results in lower quality transfusions: a randomized trial in adults with sickle cell disease. PubMed. 1(3). 100017–100017.
2.
3.
Derebail, Vimal K., Payal Desai, Laila Elsherif, et al.. (2024). Persistent albuminuria and chronic kidney disease in adults with sickle cell anaemia: Results from a multicenter natural history study. British Journal of Haematology. 205(3). 1159–1169. 1 indexed citations
4.
Elsherif, Laila, David Wichlan, Laura R. Loehr, et al.. (2024). Association of biomarkers of endothelial function, coagulation activation and kidney injury with persistent albuminuria in sickle cell anaemia. British Journal of Haematology. 205(5). 1963–1973. 1 indexed citations
5.
Wilson, Samuel, et al.. (2024). Nocturnal hypoxaemia is common in adults with sickle cell anaemia. British Journal of Haematology. 204(4). 1495–1499. 4 indexed citations
6.
Derebail, Vimal K., Laila Elsherif, David Wichlan, et al.. (2023). Persistent Albuminuria and Chronic Kidney Disease in Adults with Sickle Cell Disease: Results from a Multicenter Natural History Study. Blood. 142(Supplement 1). 1124–1124. 1 indexed citations
7.
Ataga, Kenneth I., Laila Elsherif, David Wichlan, et al.. (2021). A pilot study of the effect of rivaroxaban in sickle cell anemia. Transfusion. 61(6). 1694–1698. 3 indexed citations
8.
Derebail, Vimal K., et al.. (2019). Opioid Analgesics Are Associated with Albuminuria in Adult Patients with Sickle Cell Anemia. Blood. 134(Supplement_1). 2308–2308. 1 indexed citations
9.
10.
Kasow, Kimberly A., Vanessa Morales-Tirado, David Wichlan, et al.. (2011). Therapeutic in vivo selection of thymic-derived natural T regulatory cells following non-myeloablative hematopoietic stem cell transplant for IPEX. Clinical Immunology. 141(2). 169–176. 24 indexed citations
11.
Monahan, Paul E., Junjiang Sun, Tong Gui, et al.. (2011). Employing Factor IX Variants to Avoid Limitations Imposed by Immune Recognition of AAV Vector in Hemophilia B Gene Therapy. Blood. 118(21). 3124–3124. 3 indexed citations
12.
Morales-Tirado, Vanessa, David Wichlan, Thasia Leimig, et al.. (2010). 1α,25-dihydroxyvitamin D3 (vitamin D3) catalyzes suppressive activity on human natural regulatory T cells, uniquely modulates cell cycle progression, and augments FOXP3. Clinical Immunology. 138(2). 212–221. 36 indexed citations
13.
Rubnitz, Jeffrey E., David Wichlan, Meenakshi Devidas, et al.. (2008). Prospective Analysis of TEL Gene Rearrangements in Childhood Acute Lymphoblastic Leukemia: A Children's Oncology Group Study. Journal of Clinical Oncology. 26(13). 2186–2191. 53 indexed citations
14.
Wichlan, David, Philippa L. Roddam, Paul W. Eldridge, Rupert Handgretinger, & Janice M. Riberdy. (2006). Efficient and reproducible large-scale isolation of human CD4+ CD25+ regulatory T cells with potent suppressor activity. Journal of Immunological Methods. 315(1-2). 27–36. 25 indexed citations
15.
Marshall, Dana, Samita Andreansky, Nicole L. La Gruta, et al.. (2005). Effector CD8+T cells recovered from an influenza pneumonia differentiate to a state of focused gene expression. Proceedings of the National Academy of Sciences. 102(17). 6074–6079. 21 indexed citations
16.
Kasow, Kimberly A., Xiaohua Chen, James Knowles, et al.. (2004). Human CD4+CD25+ Regulatory T Cells Share Equally Complex and Comparable Repertoires with CD4+CD25− Counterparts. The Journal of Immunology. 172(10). 6123–6128. 69 indexed citations
17.
Rubnitz, Jeffrey E., F G Behm, David Wichlan, et al.. (1999). Low frequency of TEL-AML1 in relapsed acute lymphoblastic leukemia supports a favorable prognosis for this genetic subgroup. Leukemia. 13(1). 19–21. 68 indexed citations
18.
Wichlan, David & T P Hatch. (1993). Identification of an early-stage gene of Chlamydia psittaci 6BC. Journal of Bacteriology. 175(10). 2936–2942. 55 indexed citations
19.
Wichlan, David, et al.. (1990). Developmental cycle-specific host-free RNA synthesis in Chlamydia spp. Infection and Immunity. 58(10). 3194–3201. 21 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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