David S. Leaf

1.1k total citations
19 papers, 844 citations indexed

About

David S. Leaf is a scholar working on Molecular Biology, Cell Biology and Oceanography. According to data from OpenAlex, David S. Leaf has authored 19 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Oceanography. Recurrent topics in David S. Leaf's work include Cellular transport and secretion (4 papers), Lipid Membrane Structure and Behavior (3 papers) and Developmental Biology and Gene Regulation (3 papers). David S. Leaf is often cited by papers focused on Cellular transport and secretion (4 papers), Lipid Membrane Structure and Behavior (3 papers) and Developmental Biology and Gene Regulation (3 papers). David S. Leaf collaborates with scholars based in United States, United Kingdom and France. David S. Leaf's co-authors include Mary Anne Pultz, Rudolf A. Raff, John A. Anstrom, Jia En Chin, Claude Desplan, Annette L. Parks, Ava E. Brent, Jeremy Lynch, Gary M. Wessel and S. D. Conner and has published in prestigious journals such as Nature, The Journal of Cell Biology and Development.

In The Last Decade

David S. Leaf

19 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David S. Leaf United States	14	480	174	159	156	115	19	844
Yoshito Harada Japan	18	756 1.6×	153 0.9×	126 0.8×	261 1.7×	138 1.2×	28	1.1k
Joseph R. Schulz United States	12	445 0.9×	207 1.2×	38 0.2×	88 0.6×	69 0.6×	17	734
Michael Stauber Germany	15	532 1.1×	244 1.4×	43 0.3×	60 0.4×	62 0.5×	19	761
Linda L. Runft United States	7	476 1.0×	88 0.5×	57 0.4×	156 1.0×	80 0.7×	10	953
Meredith Gould‐Somero United States	11	566 1.2×	315 1.8×	45 0.3×	73 0.5×	34 0.3×	14	1.0k
N. E. Flower New Zealand	18	350 0.7×	133 0.8×	44 0.3×	101 0.6×	30 0.3×	27	773
H. Laufer United States	16	197 0.4×	137 0.8×	62 0.4×	62 0.4×	323 2.8×	30	994
Hideki Katow Japan	20	525 1.1×	85 0.5×	367 2.3×	170 1.1×	402 3.5×	66	1.1k
Richard M. Showman United States	14	415 0.9×	176 1.0×	230 1.4×	51 0.3×	147 1.3×	21	792
Kevin G. Nyberg United States	7	360 0.8×	63 0.4×	52 0.3×	109 0.7×	49 0.4×	11	651

Countries citing papers authored by David S. Leaf

Since Specialization

Citations

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

Fields of papers citing papers by David S. Leaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Leaf

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

All Works

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19 of 19 papers shown

1.

Dahlberg, Caroline L., et al.. (2019). A Short, Course-Based Research Module Provides Metacognitive Benefits in the Form of More Sophisticated Problem Solving. Journal of College Science Teaching. 48(4). 22–30. 16 indexed citations

2.

Lynch, Jeremy, Ava E. Brent, David S. Leaf, Mary Anne Pultz, & Claude Desplan. (2006). Localized maternal orthodenticle patterns anterior and posterior in the long germ wasp Nasonia. Nature. 439(7077). 728–732. 131 indexed citations

3.

Olesnicky, Eugenia C., Ava E. Brent, Megan Walker, et al.. (2006). AcaudalmRNA gradient controls posterior development in the waspNasonia. Development. 133(20). 3973–3982. 73 indexed citations

4.

Pultz, Mary Anne, Lori Westendorf, Samuel D. Gale, et al.. (2005). A major role for zygotichunchbackin patterning theNasoniaembryo. Development. 132(16). 3705–3715. 51 indexed citations

5.

Pultz, Mary Anne & David S. Leaf. (2003). The jewel wasp Nasonia: Querying the genome with haplo‐diploid genetics. genesis. 35(3). 185–191. 40 indexed citations

6.

Leaf, David S.. (1999). Pattern formation during development, Cold Spring Harbor symposia on quantitative biology, volume LXII. American Journal of Human Biology. 11(3). 421–422. 1 indexed citations

7.

Leaf, David S., et al.. (1998). Analysis of rab10 Localization in Sea Urchin Embryonic Cells by Three-Dimensional Reconstruction. Experimental Cell Research. 243(1). 39–49. 11 indexed citations

8.

Conner, S. D., David S. Leaf, & Gary M. Wessel. (1997). Members of the SNARE hypothesis are associated with cortical granule exocytosis in the sea urchin egg. Molecular Reproduction and Development. 48(1). 106–118. 80 indexed citations

9.

Conner, S. D., David S. Leaf, & Gary M. Wessel. (1997). Members of the SNARE hypothesis are associated with cortical granule exocytosis in the sea urchin egg. Molecular Reproduction and Development. 48(1). 106–118. 3 indexed citations

10.

Leaf, David S.. (1996). Geography student teachers and their images of teaching. International Research in Geographical and Environmental Education. 5(1). 63–68. 8 indexed citations

11.

Leaf, David S., et al.. (1993). Gene cloning and characterization of a GTP-binding Rab protein from mouse pituitary AtT-20 cells. Gene. 132(2). 273–278. 23 indexed citations

12.

Roberts, Susan Jo, David S. Leaf, H P Moore, & John C. Gerhart. (1992). The establishment of polarized membrane traffic in Xenopus laevis embryos.. The Journal of Cell Biology. 118(6). 1359–1369. 36 indexed citations

13.

Leaf, David S., Susan Jo Roberts, John C. Gerhart, & Hsiao-Ping H. Moore. (1990). The secretory pathway is blocked between the trans-Golgi and the plasma membrane during meiotic maturation in Xenopus oocytes. Developmental Biology. 141(1). 1–12. 45 indexed citations

14.

Anstrom, John A., Jia En Chin, David S. Leaf, Annette L. Parks, & Rudolf A. Raff. (1988). Immunocytochemical evidence suggesting heterogeneity in the population of sea urchin egg cortical granules. Developmental Biology. 125(1). 1–7. 25 indexed citations

15.

Parks, Annette L., et al.. (1988). Molecular analysis of heterochronic changes in the evolution of direct developing sea urchins. Journal of Evolutionary Biology. 1(1). 27–44. 79 indexed citations

16.

Anstrom, John A., Jia En Chin, David S. Leaf, Annette L. Parks, & Rudolf A. Raff. (1987). Localization and expression of msp130, a primary mesenchyme lineagespecific cell surface protein of the sea urchin embryo. Development. 101(2). 255–265. 91 indexed citations

17.

Leaf, David S., John A. Anstrom, Jia En Chin, et al.. (1987). Antibodies to a fusion protein identify a cDNA clone encoding msp130, a primary mesenchyme-specific cell surface protein of the sea urchin embryo. Developmental Biology. 121(1). 29–40. 106 indexed citations

18.

Showman, Richard M., David S. Leaf, John A. Anstrom, & Rudolf A. Raff. (1987). Translation of maternal histone mRNAs in sea urchin embryos: A test of control by 5′ cap methylation. Developmental Biology. 121(1). 284–287. 2 indexed citations

19.

Raff, Rudolf A., et al.. (1984). Origin of a gene regulatory mechanism in the evolution of echinoderms. Nature. 310(5975). 312–314. 23 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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