Mark Juckett

44 total papers · 1.0k total citations
16 papers, 522 citations indexed

About

Mark Juckett is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Mark Juckett has authored 16 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 7 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Mark Juckett's work include Acute Myeloid Leukemia Research (6 papers), Immune Cell Function and Interaction (4 papers) and Lymphoma Diagnosis and Treatment (3 papers). Mark Juckett is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Immune Cell Function and Interaction (4 papers) and Lymphoma Diagnosis and Treatment (3 papers). Mark Juckett collaborates with scholars based in United States, France and India. Mark Juckett's co-authors include Daniel J. Weisdorf, Elizabeth H. Perry, John F. DiPersio, Carolyn A. Keever-Taylor, James T. Casper, William R. Drobyski, Igor Espinoza‐Delgado, Arturo Loaiza‐Bonilla, Vinod B. Shidham and Chung‐Che Chang and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Transplantation.

In The Last Decade

Mark Juckett

15 papers receiving 506 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark Juckett 264 182 162 140 120 16 522
Ana Sureda 328 1.2× 125 0.7× 124 0.8× 127 0.9× 176 1.5× 15 542
Lucia Casarino 323 1.2× 162 0.9× 131 0.8× 53 0.4× 163 1.4× 25 605
Isabelle Radford 200 0.8× 103 0.6× 71 0.4× 152 1.1× 103 0.9× 18 518
Keiren Kirkland 296 1.1× 83 0.5× 162 1.0× 86 0.6× 104 0.9× 24 457
Michael Conzelmann 160 0.6× 120 0.7× 144 0.9× 174 1.2× 40 0.3× 14 499
Bashar Dabbas 221 0.8× 211 1.2× 93 0.6× 58 0.4× 124 1.0× 22 558
Plamen Kossev 122 0.5× 184 1.0× 238 1.5× 101 0.7× 101 0.8× 13 610
A. R. Zander 332 1.3× 102 0.6× 137 0.8× 186 1.3× 176 1.5× 16 555
Tsuyoshi Takahashi 408 1.5× 91 0.5× 89 0.5× 204 1.5× 119 1.0× 22 527
Ghee Young Kwon 296 1.1× 294 1.6× 124 0.8× 45 0.3× 97 0.8× 13 487

Countries citing papers authored by Mark Juckett

Since Specialization
Citations

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

Fields of papers citing papers by Mark Juckett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Juckett

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

All Works

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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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