J Black

415 total citations
10 papers, 320 citations indexed

About

J Black is a scholar working on Immunology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J Black has authored 10 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Genetics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J Black's work include Toxin Mechanisms and Immunotoxins (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). J Black is often cited by papers focused on Toxin Mechanisms and Immunotoxins (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). J Black collaborates with scholars based in United States, Australia and Canada. J Black's co-authors include Ralph Pannell, Victor Gurewich, Arthur E. Frankel, Jason G. Ramage, Donna E. Hogge, Mark C. Willingham, Donald R. Fleming, Philip D. Hall, Bayard L. Powell and Ronald B. Gartenhaus and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood.

In The Last Decade

J Black

10 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Black United States 7 157 93 83 81 73 10 320
JW Uhr United States 6 181 1.2× 77 0.8× 55 0.7× 90 1.1× 25 0.3× 10 369
John W. Wine United States 7 226 1.4× 20 0.2× 78 0.9× 184 2.3× 34 0.5× 9 393
Hui‐Jen Tsai Taiwan 10 35 0.2× 34 0.4× 48 0.6× 135 1.7× 84 1.2× 16 425
Hamish G. Campbell New Zealand 12 41 0.3× 51 0.5× 44 0.5× 204 2.5× 76 1.0× 14 335
T Hotta Japan 7 70 0.4× 29 0.3× 112 1.3× 157 1.9× 23 0.3× 9 357
Eva Gaarsdal Denmark 13 280 1.8× 23 0.2× 220 2.7× 126 1.6× 20 0.3× 19 514
Claire Mazumdar United States 4 316 2.0× 16 0.2× 81 1.0× 241 3.0× 90 1.2× 4 585
G. García-Manero United States 8 104 0.7× 22 0.2× 139 1.7× 111 1.4× 17 0.2× 24 329
StevenA. Rosenberg United States 6 255 1.6× 19 0.2× 29 0.3× 95 1.2× 24 0.3× 7 367
Jessica Cantrell United States 8 291 1.9× 14 0.2× 57 0.7× 78 1.0× 18 0.2× 10 396

Countries citing papers authored by J Black

Since Specialization
Citations

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

Fields of papers citing papers by J Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Black

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

All Works

10 of 10 papers shown
1.
Cummins, Katherine D., Stephen M. Jane, Robin Filshie, et al.. (2014). Sorafenib priming may augment salvage chemotherapy in relapsed and refractory FLT3-ITD-positive acute myeloid leukemia. Blood Cancer Journal. 4(8). e237–e237. 6 indexed citations
3.
Kuriakose, Philip, et al.. (2005). A phase II study of denileukin diftitox (ONTAK) in patients with fludarabine-refractory B-cell chronic lymphocytic leukemia. Journal of Clinical Oncology. 23(16_suppl). 6649–6649. 4 indexed citations
4.
Kuriakose, Philip, Francesco Turturro, Jesús G. Berdeja, et al.. (2004). A Phase II Study of Denileukin Diftitox (ONTAKR) in Patients with Fludarabine Refractory B-Cell Chronic Lymphocytic Leukemia.. Blood. 104(11). 4824–4824. 2 indexed citations
5.
Frankel, Arthur E., Philip D. Hall, Tie Fu Liu, et al.. (2004). The Use of DT388-IL3 Fusion Protein in Patients with Refractory Acute Myeloid Leukemia(AML).. Blood. 104(11). 4513–4513. 3 indexed citations
6.
Black, J, James A. McCubrey, Mark C. Willingham, et al.. (2003). Diphtheria toxin-interleukin-3 fusion protein (DT388IL3) prolongs disease-free survival of leukemic immunocompromised mice. Leukemia. 17(1). 155–159. 39 indexed citations
7.
Black, J, Philip D. Hall, Mark C. Willingham, et al.. (2003). Expression and purification of the recombinant diphtheria fusion toxin DT388IL3 for phase I clinical trials. Protein Expression and Purification. 33(1). 123–133. 35 indexed citations
8.
Frankel, Arthur E., Donald R. Fleming, Philip D. Hall, et al.. (2003). A phase II study of DT fusion protein denileukin diftitox in patients with fludarabine-refractory chronic lymphocytic leukemia.. PubMed. 9(10 Pt 1). 3555–61. 60 indexed citations
9.
Ramage, Jason G., Daniel A. Vallera, J Black, et al.. (2002). The diphtheria toxin/urokinase fusion protein (DTAT) is selectively toxic to CD87 expressing leukemic cells. Leukemia Research. 27(1). 79–84. 29 indexed citations
10.
Pannell, Ralph, J Black, & Victor Gurewich. (1988). Complementary modes of action of tissue-type plasminogen activator and pro-urokinase by which their synergistic effect on clot lysis may be explained.. Journal of Clinical Investigation. 81(3). 853–859. 113 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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