D R Meeks-Wagner

2.5k total citations
13 papers, 2.0k citations indexed

About

D R Meeks-Wagner is a scholar working on Plant Science, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, D R Meeks-Wagner has authored 13 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 8 papers in Molecular Biology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in D R Meeks-Wagner's work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (7 papers) and Plant Gene Expression Analysis (3 papers). D R Meeks-Wagner is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (7 papers) and Plant Gene Expression Analysis (3 papers). D R Meeks-Wagner collaborates with scholars based in United States, Australia and Sweden. D R Meeks-Wagner's co-authors include Susan Shannon, Kelly Shannon, Alan J. Kelly, F. Bryan Pickett, Elizabeth S. Dennis, W. James Peacock, Isabelle A. Carré, Andrew J. Millar, David E. Somers and Karen A. Hicks and has published in prestigious journals such as Science, The Plant Cell and Genetics.

In The Last Decade

D R Meeks-Wagner

13 papers receiving 1.9k citations

Peers

D R Meeks-Wagner

PS

MB

EEBS

GENET

EAS

Moon‐Soo Soh South Korea

Stephan Wenkel Denmark

Martine Schorderet Switzerland

Yurong Xie China

Kevin A. Lease United States

Pil Joong Chung South Korea

Sulan Bai China

Tetsuya Kurata Japan

Palitha Dharmawardhana United States

Ryosuke Hayama Germany

Moon‐Soo Soh South Korea

D R Meeks-Wagner

1.9k ×1.0

PS

1.4k ×0.9

MB

74 ×0.5

EEBS

64 ×0.8

GENET

61 ×1.0

EAS

Citations per year, relative to D R Meeks-Wagner D R Meeks-Wagner (= 1×) peers Moon‐Soo Soh

Countries citing papers authored by D R Meeks-Wagner

Since Specialization

Citations

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

Fields of papers citing papers by D R Meeks-Wagner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D R Meeks-Wagner. 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 D R Meeks-Wagner. The network helps show where D R Meeks-Wagner may publish in the future.

Co-authorship network of co-authors of D R Meeks-Wagner

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

All Works

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13 of 13 papers shown

1.

Larsson, Annika Sundås, Katarina Landberg, & D R Meeks-Wagner. (1998). The TERMINAL FLOWER2 (TFL2) Gene Controls the Reproductive Transition and Meristem Identity in Arabidopsis thaliana. Genetics. 149(2). 597–605. 108 indexed citations

2.

Hicks, Karen A., Andrew J. Millar, Isabelle A. Carré, et al.. (1996). Conditional Circadian Dysfunction of the Arabidopsis early-flowering 3 Mutant. Science. 274(5288). 790–792. 310 indexed citations

3.

Meeks-Wagner, D R. (1996). Fast flowering. Trends in Plant Science. 1(3). 76–77. 3 indexed citations

4.

Pickett, F. Bryan & D R Meeks-Wagner. (1995). Seeing double: appreciating genetic redundancy.. The Plant Cell. 7(9). 1347–1356. 134 indexed citations

5.

Kelly, Alan J., et al.. (1995). NFL, the tobacco homolog of FLORICAULA and LEAFY, is transcriptionally expressed in both vegetative and floral meristems.. The Plant Cell. 7(2). 225–234. 149 indexed citations

6.

Shannon, Susan & D R Meeks-Wagner. (1993). Genetic Interactions That Regulate Inflorescence Development in Arabidopsis.. The Plant Cell. 5(6). 639–655. 163 indexed citations

7.

Meeks-Wagner, D R. (1993). Gene Expression in the Early Floral Meristem.. The Plant Cell. 5(10). 1167–1174. 12 indexed citations

8.

Shannon, Kelly & D R Meeks-Wagner. (1993). Genetic Interactions That Regulate Inflorescence Development in Arabidopsis. The Plant Cell. 5(6). 639–639. 62 indexed citations

9.

Shannon, Susan & D R Meeks-Wagner. (1991). A Mutation in the Arabidopsis TFL1 Gene Affects Inflorescence Meristem Development.. The Plant Cell. 3(9). 877–892. 436 indexed citations

10.

Shannon, Kelly & D R Meeks-Wagner. (1991). A Mutation in the Arabidopsis TFL1 Gene Affects Inflorescence Meristem Development. The Plant Cell. 3(9). 877–877. 230 indexed citations

11.

Kelly, Alan J., et al.. (1990). Identification of genes expressed in the tobacco shoot apex during the floral transition.. The Plant Cell. 2(10). 963–972. 30 indexed citations

12.

Neale, A. D., Jill A. Wahleithner, Howard T. Bonnett, et al.. (1990). Chitinase, beta-1,3-glucanase, osmotin, and extensin are expressed in tobacco explants during flower formation.. The Plant Cell. 2(7). 673–684. 274 indexed citations

13.

Meeks-Wagner, D R, Elizabeth S. Dennis, K. Trân Thanh Vân, & W. James Peacock. (1989). Tobacco genes expressed during in vitro floral initiation and their expression during normal plant development.. The Plant Cell. 1(1). 25–35. 68 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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