Malcolm Whitman

12.3k total citations · 5 hit papers
82 papers, 10.3k citations indexed

About

Malcolm Whitman is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Malcolm Whitman has authored 82 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Cell Biology. Recurrent topics in Malcolm Whitman's work include Developmental Biology and Gene Regulation (28 papers), TGF-β signaling in diseases (24 papers) and Congenital heart defects research (20 papers). Malcolm Whitman is often cited by papers focused on Developmental Biology and Gene Regulation (28 papers), TGF-β signaling in diseases (24 papers) and Congenital heart defects research (20 papers). Malcolm Whitman collaborates with scholars based in United States, Japan and South Korea. Malcolm Whitman's co-authors include Lewis C. Cantley, Thomas M. Roberts, Tracy Keller, Chang‐Yeol Yeo, Brian Schaffhausen, D. A. Melton, Xin Chen, Carole LaBonne, Minoru Watanabe and Marilyn L. Keeler and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Malcolm Whitman

81 papers receiving 10.1k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Type I phosphatidylinositol kinase makes a novel inositol phospholipid, phosphatidylinositol-3-phosphate

1988 872 citations Malcolm Whitman, Tracy Keller et al. profile →
Association of phosphatidylinositol kinase activity with polyoma middle-T competent for transformation

1985 724 citations Malcolm Whitman, Lewis C. Cantley et al. profile →
A transcriptional partner for MAD proteins in TGF-β signalling

1996 614 citations Xin Chen, Malcolm Whitman et al. profile →
Common elements in growth factor stimulation and oncogenic transformation: 85 kd phosphoprotein and phosphatidylinositol kinase activity

1987 600 citations Malcolm Whitman, Lewis C. Cantley et al. Cell profile →
Activins are expressed early in Xenopus embryogenesis and can induce axial mesoderm and anterior structures

1990 535 citations Malcolm Whitman et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Malcolm Whitman United States	44	8.6k	1.4k	1.2k	1.2k	753	82	10.3k
Ned Lamb France	49	7.5k 0.9×	1.8k 1.3×	1.1k 0.9×	1.8k 1.4×	715 0.9×	90	9.4k
Karl Willert United States	42	7.9k 0.9×	1.1k 0.8×	1.2k 1.0×	1.3k 1.0×	797 1.1×	65	9.8k
Danny Huylebroeck Belgium	58	8.3k 1.0×	964 0.7×	1.3k 1.1×	1.6k 1.3×	1.1k 1.4×	163	11.7k
Keith R. Johnson United States	56	9.3k 1.1×	2.8k 2.0×	1.3k 1.1×	2.1k 1.7×	814 1.1×	139	12.6k
Yingzi Yang United States	51	7.9k 0.9×	1.9k 1.4×	2.1k 1.7×	1.5k 1.2×	742 1.0×	99	11.1k
Bryan A. Ballif United States	40	7.8k 0.9×	1.8k 1.3×	1.1k 0.9×	1.8k 1.4×	599 0.8×	104	10.5k
Dieter Riethmacher Germany	38	4.5k 0.5×	888 0.7×	1.5k 1.2×	834 0.7×	1.2k 1.6×	60	8.6k
Wei Wu China	45	9.1k 1.1×	1.0k 0.8×	2.3k 1.9×	961 0.8×	620 0.8×	177	12.5k
Bradley Spencer‐Dene United Kingdom	48	5.2k 0.6×	1.2k 0.9×	1.0k 0.8×	2.2k 1.8×	869 1.2×	83	8.0k
Katia Manova United States	47	7.4k 0.9×	973 0.7×	1.7k 1.4×	1.9k 1.6×	1000 1.3×	79	10.7k

Countries citing papers authored by Malcolm Whitman

Since Specialization

Citations

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

Fields of papers citing papers by Malcolm Whitman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Whitman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Payne, N. Connor, C. Johansson, Sofia A. Santos, et al.. (2022). Elucidating the path to Plasmodium prolyl-tRNA synthetase inhibitors that overcome halofuginone resistance. Nature Communications. 13(1). 4976–4976. 16 indexed citations

Merrill‐Skoloff, Glenn, Karen De Ceunynck, James R. Dilks, et al.. (2021). The secreted tyrosine kinase VLK is essential for normal platelet activation and thrombus formation. Blood. 139(1). 104–117. 6 indexed citations

Sundrud, Mark S., Changqian Zhou, Maja Edenius, et al.. (2020). Aminoacyl-tRNA synthetase inhibition activates a pathway that branches from the canonical amino acid response in mammalian cells. Proceedings of the National Academy of Sciences. 117(16). 8900–8911. 27 indexed citations

Ho, Kevin Ki‐Wai, Rocío Fuente, Lin Xu, et al.. (2019). The role of FoxA2 transcription factor as potential regulator of articular cartilage hypertrophy and OA progression. Osteoarthritis and Cartilage. 27. S157–S158. 2 indexed citations

Bordoli, Mattia R., Susanne B. Breitkopf, Jonathan N. Thon, et al.. (2014). A Secreted Tyrosine Kinase Acts in the Extracellular Environment. Cell. 159(4). 955–955. 3 indexed citations

Rienhoff, Hugh Young, Chang‐Yeol Yeo, Rachel Morissette, et al.. (2013). A mutation in TGFB3 associated with a syndrome of low muscle mass, growth retardation, distal arthrogryposis and clinical features overlapping with marfan and loeys–dietz syndrome. American Journal of Medical Genetics Part A. 161(8). 2040–2046. 69 indexed citations

Danciu, Theodora, et al.. (2012). Small Ubiquitin-like Modifier (SUMO) Modification Mediates Function of the Inhibitory Domains of Developmental Regulators FOXC1 and FOXC2. Journal of Biological Chemistry. 287(22). 18318–18329. 27 indexed citations

Keller, Tracy, Davide Zocco, Mark S. Sundrud, et al.. (2012). Halofuginone and other febrifugine derivatives inhibit prolyl-tRNA synthetase. Nature Chemical Biology. 8(3). 311–317. 297 indexed citations

Kamberov, Yana G., Jihoon Kim, Ralph Mazitschek, Winston Patrick Kuo, & Malcolm Whitman. (2011). Microarray profiling reveals the integrated stress response is activated by halofuginone in mammary epithelial cells. BMC Research Notes. 4(1). 381–381. 11 indexed citations

10.

Sundrud, Mark S., Sergei B. Koralov, Markus Feuerer, et al.. (2009). Halofuginone Inhibits T _H 17 Cell Differentiation by Activating the Amino Acid Starvation Response. Science. 324(5932). 1334–1338. 323 indexed citations

11.

Onuma, Yasuko, Makoto Asashima, & Malcolm Whitman. (2006). A Serpin family gene, Protease nexin-1 has an activity distinct from protease inhibition in early Xenopus embryos. Mechanisms of Development. 123(6). 463–471. 8 indexed citations

12.

Ho, Diana M., Joanne Chan, Peter Bayliss, & Malcolm Whitman. (2006). Inhibitor-resistant type I receptors reveal specific requirements for TGF-β signaling in vivo. Developmental Biology. 295(2). 730–742. 42 indexed citations

13.

Onuma, Yasuko, Shuji Takahashi, Yoshikazu Haramoto, et al.. (2005). Xnr2 and Xnr5 unprocessed proteins inhibit Wnt signaling upstream of dishevelled. Developmental Dynamics. 234(4). 900–910. 14 indexed citations

14.

Faure, Sandrine, Pascal de Santa Barbara, Drucilla J. Roberts, & Malcolm Whitman. (2002). Endogenous Patterns of BMP Signaling during Early Chick Development. Developmental Biology. 244(1). 44–65. 139 indexed citations

15.

Shiratori, Hidetaka, Rui Sakuma, Minoru Watanabe, et al.. (2001). Two-Step Regulation of Left–Right Asymmetric Expression of Pitx2. Molecular Cell. 7(1). 137–149. 193 indexed citations

16.

Yeo, Chang‐Yeol, Xin Chen, & Malcolm Whitman. (1999). The Role of FAST-1 and Smads in Transcriptional Regulation by Activin during Early Xenopus Embryogenesis. Journal of Biological Chemistry. 274(37). 26584–26590. 96 indexed citations

17.

Weisberg, Ellen, et al.. (1998). A mouse homologue of FAST-1 transduces TGFβ superfamily signals and is expressed during early embryogenesis. Mechanisms of Development. 79(1-2). 17–27. 73 indexed citations

18.

LaBonne, Carole & Malcolm Whitman. (1997). Localization of MAP Kinase Activity in EarlyXenopusEmbryos: Implications for Endogenous FGF Signaling. Developmental Biology. 183(1). 9–20. 89 indexed citations

19.

Hall, David J., Susan Dana Jones, David R. Kaplan, et al.. (1989). Evidence for a Novel Signal Transduction Pathway Activated by Platelet-Derived Growth Factor and by Double-Stranded RNA. Molecular and Cellular Biology. 9(4). 1705–1713. 3 indexed citations

20.

Whitman, Malcolm & Lewis C. Cantley. (1989). Phosphoinositide metabolism and the control of cell proliferation. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 948(3). 327–344. 146 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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