David W. Yoder

436 total citations
9 papers, 348 citations indexed

About

David W. Yoder is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, David W. Yoder has authored 9 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in David W. Yoder's work include Photosynthetic Processes and Mechanisms (5 papers), Plant Stress Responses and Tolerance (2 papers) and Plant Virus Research Studies (2 papers). David W. Yoder is often cited by papers focused on Photosynthetic Processes and Mechanisms (5 papers), Plant Stress Responses and Tolerance (2 papers) and Plant Virus Research Studies (2 papers). David W. Yoder collaborates with scholars based in United States and Japan. David W. Yoder's co-authors include Katherine W. Osteryoung, Shin‐ya Miyagishima, Jonathan M. Glynn, Stanislav Vitha, Deena K. Kadirjan‐Kalbach, Kenji Suzuki, Hiromitsu Nakanishi, Michael E. Ruckle, Robert M. Larkin and Roger P. Hangarter and has published in prestigious journals such as PLANT PHYSIOLOGY, The Plant Journal and Plant and Cell Physiology.

In The Last Decade

David W. Yoder

8 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David W. Yoder United States	6	296	205	33	32	21	9	348
Pai-Hsiang Su Taiwan	7	393 1.3×	251 1.2×	38 1.2×	24 0.8×	12 0.6×	9	492
Eiko Miura Japan	7	457 1.5×	346 1.7×	61 1.8×	25 0.8×	21 1.0×	7	541
Thomas Bals Germany	7	277 0.9×	168 0.8×	44 1.3×	37 1.2×	11 0.5×	8	337
S. Lerbs-Mache France	9	352 1.2×	206 1.0×	45 1.4×	21 0.7×	16 0.8×	11	391
Nadine Tiller Germany	8	455 1.5×	211 1.0×	46 1.4×	22 0.7×	19 0.9×	8	515
Ron Cook United States	6	365 1.2×	350 1.7×	38 1.2×	25 0.8×	9 0.4×	8	467
Yoko Ishizaki Japan	8	449 1.5×	259 1.3×	70 2.1×	20 0.6×	28 1.3×	15	486
A. Douwe de Boer Netherlands	9	384 1.3×	231 1.1×	41 1.2×	24 0.8×	13 0.6×	12	481
Lucia E. Groß Germany	9	308 1.0×	76 0.4×	31 0.9×	18 0.6×	19 0.9×	12	329

Countries citing papers authored by David W. Yoder

Since Specialization

Citations

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

Fields of papers citing papers by David W. Yoder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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9 of 9 papers shown

1.

Schmidt, Bradley S., et al.. (2016). Netrin-1 Peptide Is a Chemorepellent inTetrahymena thermophila. PubMed. 2016. 1–7. 1 indexed citations

2.

Vitha, Stanislav & David W. Yoder. (2015). High Throughput Processing of DNA Samples on FTA Paper for PCR Analysis.

3.

Kadirjan‐Kalbach, Deena K., David W. Yoder, Michael E. Ruckle, Robert M. Larkin, & Katherine W. Osteryoung. (2012). FtsHi1/ARC1 is an essential gene in Arabidopsis that links chloroplast biogenesis and division. The Plant Journal. 72(5). 856–867. 46 indexed citations

4.

Suzuki, Kenji, et al.. (2009). Plastid chaperonin proteins Cpn60α and Cpn60β are required for plastid division in Arabidopsis thaliana. BMC Plant Biology. 9(1). 38–38. 76 indexed citations

5.

Lu, Yan, Linda Savage, Imad Ajjawi, et al.. (2008). New Connections across Pathways and Cellular Processes: Industrialized Mutant Screening Reveals Novel Associations between Diverse Phenotypes in Arabidopsis . PLANT PHYSIOLOGY. 146(4). 1482–1500. 73 indexed citations

6.

Glynn, Jonathan M., Shin‐ya Miyagishima, David W. Yoder, Katherine W. Osteryoung, & Stanislav Vitha. (2007). Chloroplast Division. Traffic. 8(5). 451–461. 88 indexed citations

7.

Yoder, David W., Deena K. Kadirjan‐Kalbach, Bradley J. S. C. Olson, et al.. (2007). Effects of Mutations in Arabidopsis FtsZ1 on Plastid Division, FtsZ Ring Formation and Positioning, and FtsZ Filament Morphology in Vivo. Plant and Cell Physiology. 48(6). 775–791. 54 indexed citations

8.

Spradling, Kimberly D., et al.. (2005). Molecular cloning and analysis of a cotton gene cluster of two genes and two pseudogenes for the PR5 protein osmotin. Physiological and Molecular Plant Pathology. 67(2). 68–82. 3 indexed citations

9.

Yoder, David W., et al.. (1999). Molecular cloning and nucleotide sequence of a gene encoding a cotton palmitoyl-acyl carrier protein thioesterase. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1446(3). 403–413. 7 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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