David Mbangkollo

755 total citations
8 papers, 631 citations indexed

About

David Mbangkollo is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, David Mbangkollo has authored 8 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Hematology. Recurrent topics in David Mbangkollo's work include Acute Myeloid Leukemia Research (2 papers), Cell death mechanisms and regulation (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). David Mbangkollo is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Cell death mechanisms and regulation (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). David Mbangkollo collaborates with scholars based in United States and Japan. David Mbangkollo's co-authors include Heidi J. Gill, Michael J. Thirman, Janet D. Rowley, Norah R. McCabe, Manuel O. Dı́az, Yasuhiko Kaneko, Robert C. Burnett, Rodman Morgan, Hirofumi Kobayashi and Avery A. Sandberg and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David Mbangkollo

8 papers receiving 621 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 Mbangkollo United States 6 376 369 184 78 77 8 631
Hendrati Pirc‐Danoewinata Austria 13 219 0.6× 311 0.8× 146 0.8× 62 0.8× 94 1.2× 24 495
A Otsuji Japan 6 300 0.8× 428 1.2× 138 0.8× 95 1.2× 77 1.0× 12 579
Koyu Hoshino United States 12 543 1.4× 452 1.2× 125 0.7× 57 0.7× 112 1.5× 21 739
PH Sorensen Canada 6 255 0.7× 335 0.9× 275 1.5× 75 1.0× 61 0.8× 7 556
Mauri Keinänen Finland 11 216 0.6× 255 0.7× 86 0.5× 49 0.6× 80 1.0× 14 466
LC Chan China 5 180 0.5× 367 1.0× 243 1.3× 167 2.1× 102 1.3× 5 588
Ana Aventín Spain 11 350 0.9× 339 0.9× 94 0.5× 36 0.5× 148 1.9× 18 610
TR Golub United States 6 274 0.7× 426 1.2× 458 2.5× 44 0.6× 82 1.1× 7 708
Liat Rainis Israel 5 217 0.6× 295 0.8× 132 0.7× 42 0.5× 69 0.9× 6 419
CL Willman United States 10 256 0.7× 334 0.9× 129 0.7× 51 0.7× 90 1.2× 15 472

Countries citing papers authored by David Mbangkollo

Since Specialization
Citations

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

Fields of papers citing papers by David Mbangkollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mbangkollo

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

All Works

8 of 8 papers shown
1.
Zhang, Hong, et al.. (2001). Characterization of DNA Damage-stimulated Self-interaction ofSaccharomyces cerevisiae Checkpoint Protein Rad17p. Journal of Biological Chemistry. 276(28). 26715–26723. 15 indexed citations
2.
Leon, Mony J. de, et al.. (1998). Arrest of the cell cycle reduces susceptibility of target cells to perforin-mediated lysis.. PubMed. 69(4). 425–35. 5 indexed citations
3.
Mbangkollo, David, et al.. (1998). Arrest of the cell cycle reduces susceptibility of target cells to perforin-mediated lysis. Journal of Cellular Biochemistry. 69(4). 425–435. 4 indexed citations
4.
Mbangkollo, David, Robert Burnett, Norah R. McCabe, et al.. (1995). The Human MLL Gene: Nucleotide Sequence, Homology to the Drosophila trx Zinc-Finger Domain, and Alternative Splicing. DNA and Cell Biology. 14(6). 475–483. 22 indexed citations
5.
Thirman, Michael J., Heidi J. Gill, Robert C. Burnett, et al.. (1993). Rearrangement of the MLL Gene in Acute Lymphoblastic and Acute Myeloid Leukemias with 11q23 Chromosomal Translocations. New England Journal of Medicine. 329(13). 909–914. 413 indexed citations
6.
Feldhaus, Andrew L., et al.. (1992). BLyF, a Novel Cell-Type- and Stage-Specific Regulator of the B-Lymphocyte Gene mb-1. Molecular and Cellular Biology. 12(3). 1126–1133. 58 indexed citations
7.
McCabe, Norah R., R. C. Burnett, Heidi J. Gill, et al.. (1992). Cloning of cDNAs of the MLL gene that detect DNA rearrangements and altered RNA transcripts in human leukemic cells with 11q23 translocations.. Proceedings of the National Academy of Sciences. 89(24). 11794–11798. 95 indexed citations
8.
Farmer, Stephen R., Gregory S. Robinson, David Mbangkollo, et al.. (1986). Differential Expression of the β‐Tubulin Multigene Family during Rat Brain Developmenta. Annals of the New York Academy of Sciences. 466(1). 41–50. 19 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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