W. David Jarvis

5.9k total citations · 1 hit paper
51 papers, 5.2k citations indexed

About

W. David Jarvis is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, W. David Jarvis has authored 51 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in W. David Jarvis's work include Cell death mechanisms and regulation (12 papers), Sphingolipid Metabolism and Signaling (11 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). W. David Jarvis is often cited by papers focused on Cell death mechanisms and regulation (12 papers), Sphingolipid Metabolism and Signaling (11 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). W. David Jarvis collaborates with scholars based in United States, France and Japan. W. David Jarvis's co-authors include Steven Grant, Richard Kolesnick, Rebecca S. Traylor, Frank A. Fornari, Éva Szabó, Michael J. Birrer, David A. Gewirtz, Xin Lin, Zvi Fuks and Adriana Haimovitz‐Friedman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

W. David Jarvis

51 papers receiving 5.1k citations

Hit 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.

Requirement for ceramide-initiated SAPK/JNK signalling in stress-induced apoptosis

1996 1.6k citations W. David Jarvis, Steven Grant et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W. David Jarvis United States	31	3.8k	856	614	572	480	51	5.2k
Michiaki Kohno Japan	35	3.1k 0.8×	846 1.0×	393 0.6×	523 0.9×	427 0.9×	92	4.5k
Tara Beers Gibson United States	11	2.9k 0.8×	642 0.8×	525 0.9×	479 0.8×	280 0.6×	20	4.6k
Ana Aranda Spain	38	3.0k 0.8×	665 0.8×	596 1.0×	263 0.5×	456 0.9×	158	5.8k
Shigeru Nakashima Japan	45	4.0k 1.1×	646 0.8×	669 1.1×	1.1k 1.8×	318 0.7×	174	6.3k
William F. Matter United States	14	3.1k 0.8×	689 0.8×	749 1.2×	542 0.9×	221 0.5×	19	4.5k
Gray W. Pearson United States	20	3.9k 1.0×	1.0k 1.2×	652 1.1×	729 1.3×	343 0.7×	32	5.8k
Shane C. Masters United States	18	6.3k 1.7×	1.2k 1.4×	860 1.4×	807 1.4×	541 1.1×	23	7.8k
Rosemary O’Connor Ireland	39	3.1k 0.8×	841 1.0×	725 1.2×	418 0.7×	265 0.6×	99	5.3k
Elizabeth A. Rubie Canada	13	3.6k 1.0×	879 1.0×	717 1.2×	553 1.0×	258 0.5×	15	4.8k
Peter Cron Switzerland	22	5.5k 1.5×	704 0.8×	556 0.9×	991 1.7×	392 0.8×	24	6.5k

Countries citing papers authored by W. David Jarvis

Since Specialization

Citations

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

Fields of papers citing papers by W. David Jarvis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. David Jarvis

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

All Works

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20 of 20 papers shown

Shamji, Mohammed F., Lori A. Setton, W. David Jarvis, et al.. (2010). Proinflammatory cytokine expression profile in degenerated and herniated human intervertebral disc tissues. Arthritis & Rheumatism. 62(7). 1974–1982. 389 indexed citations

Tombes, Robert M., Ross B. Mikkelsen, W. David Jarvis, & Steven Grant. (1999). Downregulation of δ CaM kinase II in human tumor cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1452(1). 1–11. 26 indexed citations

Decker, Roy H., W. David Jarvis, Victoria M. Richon, et al.. (1999). Induction of apoptosis in U937 human leukemia cells by suberoylanilide hydroxamic acid (SAHA) proceeds through pathways that are regulated by Bcl-2/Bcl-XL, c-Jun, and p21CIP1, but independent of p53. Oncogene. 18(50). 7016–7025. 244 indexed citations

Jarvis, W. David, Frank A. Fornari, Robert M. Tombes, et al.. (1998). Evidence for Involvement of Mitogen-Activated Protein Kinase, Rather than Stress-Activated Protein Kinase, in Potentiation of 1-β-d-Arabinofuranosylcytosine-Induced Apoptosis by Interruption of Protein Kinase C Signaling. Molecular Pharmacology. 54(5). 844–856. 80 indexed citations

Jarvis, W. David & Steven Grant. (1998). The role of ceramide in the cellular response to cytotoxic agents. Current Opinion in Oncology. 10(6). 552–559. 38 indexed citations

Vrana, Julie A., Alex J. Freemerman, W. David Jarvis, et al.. (1997). Modulation of the expression of Bcl-2 and related proteins in human leukemia cells by protein kinase C activators: relationship to effects on 1-[β-D-arabinofuranosyl]cytosine-induced apoptosis. Cell Death and Differentiation. 4(4). 294–303. 5 indexed citations

Freemerman, Alex J., et al.. (1997). Potentiation of ara-C-induced apoptosis by the protein kinase C activator bryostatin 1 in human leukemia cells (HL-60) involves a process dependent upon c-Myc. Biochemical Pharmacology. 54(5). 563–573. 12 indexed citations

Jarvis, W. David, Kelly L. Auer, Mark S. Spector, et al.. (1997). Positive and negative regulation of JNK1 by protein kinase C and p42^{MAP kinase} in adult rat hepatocytes. FEBS Letters. 412(1). 9–14. 30 indexed citations

Spector, Mark S., Kelly L. Auer, W. David Jarvis, et al.. (1997). Differential Regulation of the Mitogen-Activated Protein and Stress-Activated Protein Kinase Cascades by Adrenergic Agonists in Quiescent and Regenerating Adult Rat Hepatocytes. Molecular and Cellular Biology. 17(7). 3556–3565. 97 indexed citations

10.

Jarvis, W. David, et al.. (1996). Radiosensitization of HL-60 human leukaemia cells by bryostatin-1 in the absence of increased DNA fragmentation or apoptotic cell death. International Journal of Radiation Biology. 69(2). 183–192. 9 indexed citations

11.

Turner, Amy, et al.. (1996). Modulation of Protein Kinase C Activity and Calcium-Sensitive Isoform Expression in Human Myeloid Leukemia Cells by Bryostatin 1: Relationship to Differentiation and Ara-C-Induced Apoptosis. Experimental Cell Research. 228(1). 65–75. 24 indexed citations

12.

Jarvis, W. David, Lawrence F. Povirk, Amy Turner, et al.. (1994). Effects of bryostatin 1 and other pharmacological activators of protein kinase C on 1-[β-d-arabinofuranosyl]cytosine-induced apoptosis in HL-60 human promyelocytic leukemia cells. Biochemical Pharmacology. 47(5). 839–852. 81 indexed citations

13.

Grant, Steven, et al.. (1992). Effects of bryostatin 1 and rGM‐CSF on the metabolism of 1‐β‐d‐arabinofuranosylcytosine in human leukaemic myeloblasts. British Journal of Haematology. 82(3). 522–528. 9 indexed citations

14.

Spangelo, Bryan L., W. David Jarvis, Allan M. Judd, & Robert M. MacLeod. (1991). Induction of Interleukin-6 Release by Interleukin-1 in Rat Anterior Pituitary Cellsin Vitro: Evidence for an Eicosanoid-Dependent Mechanism*. Endocrinology. 129(6). 2886–2894. 55 indexed citations

15.

Judd, Allan M., et al.. (1990). Calcitonin Decreases Thyrotropin-Releasing Hormone-Stimulated Prolactin Release through a Mechanism That Involves Inhibition of Inositol Phosphate Production*. Endocrinology. 127(1). 191–199. 26 indexed citations

16.

Judd, Allan M., et al.. (1990). Physiological and biochemical effects of bradykinin and lys-bradykinin in pituitary cells. Molecular and Cellular Endocrinology. 72(3). 239–246. 2 indexed citations

17.

Spangelo, Bryan L., Allan M. Judd, Ivan S. Login, et al.. (1987). Thymosin Fraction 5 Stimulates Prolactin and Growth Hormone Release from Anterior Pituitary Cellsin Vitro*. Endocrinology. 121(6). 2035–2043. 35 indexed citations

18.

Judd, Allan M., Ivan S. Login, W. David Jarvis, & Robert M. MacLeod. (1987). Impaired calcium mobilisation in the 7315a prolactin-secreting pituitary tumour. Cell Calcium. 8(3). 189–196. 11 indexed citations

19.

Judd, Allan M., W. David Jarvis, & Robert M. MacLeod. (1987). Attenuation of pituitary polyphosphoinositide metabolism by protein kinase C activation. Molecular and Cellular Endocrinology. 54(2-3). 107–114. 15 indexed citations

20.

Canonico, Pier Luigi, W. David Jarvis, Allan M. Judd, & Robert M. MacLeod. (1986). Dopamine does not attenuate phosphoinositide hydrolysis in rat anterior pituitary cells. Journal of Endocrinology. 110(3). 389–393. 39 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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