John M. Joslin

889 total citations
10 papers, 552 citations indexed

About

John M. Joslin is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, John M. Joslin has authored 10 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Cell Biology. Recurrent topics in John M. Joslin's work include Acute Myeloid Leukemia Research (4 papers), Genomics and Chromatin Dynamics (3 papers) and Cellular transport and secretion (2 papers). John M. Joslin is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Genomics and Chromatin Dynamics (3 papers) and Cellular transport and secretion (2 papers). John M. Joslin collaborates with scholars based in United States, United Kingdom and Singapore. John M. Joslin's co-authors include Roger A. Schultz, Michelle M. Le Beau, Thelma R. Tennant, Julie D. Sharp, Ruth B. Wheeler, Sara Mole, Ruth Williams, Anthony A. Fernald, Elizabeth M. Davis and Scott C. Kogan and has published in prestigious journals such as Nature Communications, Blood and Genome Research.

In The Last Decade

John M. Joslin

9 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Joslin United States 7 291 199 150 104 79 10 552
Tyler B. Moran United States 11 625 2.1× 220 1.1× 75 0.5× 61 0.6× 78 1.0× 17 848
Satomi Kuramochi Japan 12 378 1.3× 145 0.7× 93 0.6× 67 0.6× 57 0.7× 12 631
Yukiko Aikawa Japan 11 582 2.0× 216 1.1× 44 0.3× 65 0.6× 59 0.7× 21 719
Miao-Chia Lo United States 15 560 1.9× 164 0.8× 27 0.2× 74 0.7× 64 0.8× 19 693
Abdelhafid Saci France 9 308 1.1× 103 0.5× 42 0.3× 98 0.9× 41 0.5× 10 567
Juhi Ojha United States 11 236 0.8× 54 0.3× 91 0.6× 41 0.4× 27 0.3× 15 539
Rahima Patel United Kingdom 16 542 1.9× 221 1.1× 120 0.8× 479 4.6× 60 0.8× 23 887
Carrie Rakowski United States 7 787 2.7× 131 0.7× 67 0.4× 37 0.4× 83 1.1× 7 904
Katarzyna E. Kolodziej Netherlands 7 330 1.1× 85 0.4× 57 0.4× 56 0.5× 55 0.7× 7 432
Kimberly R. Blahnik United States 7 691 2.4× 91 0.5× 45 0.3× 29 0.3× 83 1.1× 7 782

Countries citing papers authored by John M. Joslin

Since Specialization
Citations

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

Fields of papers citing papers by John M. Joslin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Joslin. 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 John M. Joslin. The network helps show where John M. Joslin may publish in the future.

Co-authorship network of co-authors of John M. Joslin

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Joslin. A scholar is included among the top collaborators of John M. Joslin 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 John M. Joslin. John M. Joslin 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.
Chen, Hao, Frederick J. King, Bin Zhou, et al.. (2024). Drug target prediction through deep learning functional representation of gene signatures. Nature Communications. 15(1). 1853–1853. 34 indexed citations
2.
Joslin, John M., Brian Polagye, & Sandra L. Parker‐Stetter. (2012). Development of a stereo camera system for monitoring hydrokinetic turbines. 108. 1–10. 4 indexed citations
3.
Qian, Zhijian, John M. Joslin, Thelma R. Tennant, et al.. (2009). Cytogenetic and genetic pathways in therapy-related acute myeloid leukemia. Chemico-Biological Interactions. 184(1-2). 50–57. 63 indexed citations
4.
Joslin, John M., Anthony A. Fernald, Thelma R. Tennant, et al.. (2007). Haploinsufficiency of EGR1, a candidate gene in the del(5q), leads to the development of myeloid disorders. Blood. 110(2). 719–726. 157 indexed citations
5.
Joslin, John M., Anthony A. Fernald, Zhijian Qian, John D. Crispino, & Michelle M. Le Beau. (2005). Egr1, a Candidate Gene within the Commonly Deleted Segment of Chromosome 5, Plays a Role in Murine Erythropoiesis and Leukemogenesis.. Blood. 106(11). 663–663.
6.
Wheeler, Ruth B., Julie D. Sharp, Roger A. Schultz, et al.. (2002). The Gene Mutated in Variant Late-Infantile Neuronal Ceroid Lipofuscinosis (CLN6) and in nclf Mutant Mice Encodes a Novel Predicted Transmembrane Protein. The American Journal of Human Genetics. 70(2). 537–542. 151 indexed citations
7.
Wren, Jonathan D., et al.. (2002). Cross-hybridization on PCR-spotted microarrays. IEEE Engineering in Medicine and Biology Magazine. 21(2). 71–75. 22 indexed citations
8.
Lai, Fang, Lucy A. Godley, John M. Joslin, et al.. (2001). Transcript Map and Comparative Analysis of the 1.5-Mb Commonly Deleted Segment of Human 5q31 in Malignant Myeloid Diseases with a del(5q). Genomics. 71(2). 235–245. 70 indexed citations
9.
Sharp, Julie D., Ruth B. Wheeler, Roger A. Schultz, et al.. (2001). Analysis of candidate genes in the CLN6 critical regionusing in silico cloning. European Journal of Paediatric Neurology. 5. 29–31. 4 indexed citations
10.
Ji, Yonggang, Nancy A. Rebert, John M. Joslin, et al.. (2000). Structure of the Highly Conserved HERC2 Gene and of Multiple Partially Duplicated Paralogs in Human. Genome Research. 10(3). 319–329. 47 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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