Max Feldman

1.1k total citations
18 papers, 529 citations indexed

About

Max Feldman is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Max Feldman has authored 18 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 4 papers in Agronomy and Crop Science and 3 papers in Molecular Biology. Recurrent topics in Max Feldman's work include Plant Pathogens and Resistance (5 papers), Wheat and Barley Genetics and Pathology (3 papers) and Potato Plant Research (3 papers). Max Feldman is often cited by papers focused on Plant Pathogens and Resistance (5 papers), Wheat and Barley Genetics and Pathology (3 papers) and Potato Plant Research (3 papers). Max Feldman collaborates with scholars based in United States, Mexico and South Korea. Max Feldman's co-authors include Ivan Baxter, Noah Fahlgren, Malia Gehan, Patrick Z. Ellsworth, Michael D. Miller, Asaph B. Cousins, Tony Sax, Andy Lin, Hui Jiang and Leonardo Chavez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Max Feldman

16 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Feldman United States 8 428 121 100 98 39 18 529
Andreas Fischbach Germany 7 558 1.3× 98 0.8× 153 1.5× 91 0.9× 57 1.5× 8 615
Susanne Tittmann Germany 10 411 1.0× 83 0.7× 135 1.4× 45 0.5× 14 0.4× 17 475
Sankalpi Warnasooriya United States 8 326 0.8× 161 1.3× 71 0.7× 37 0.4× 24 0.6× 10 382
Maximilian J. Feldman United States 5 202 0.5× 52 0.4× 75 0.8× 48 0.5× 25 0.6× 6 257
Chenyong Miao United States 14 539 1.3× 201 1.7× 163 1.6× 228 2.3× 58 1.5× 14 721
J. Melichar United Kingdom 7 463 1.1× 60 0.5× 97 1.0× 120 1.2× 61 1.6× 7 507
Haifu Tu China 8 459 1.1× 119 1.0× 127 1.3× 116 1.2× 30 0.8× 16 547
Frank Gilmer Germany 7 718 1.7× 181 1.5× 189 1.9× 103 1.1× 64 1.6× 8 822
Marcus Jansen Germany 14 617 1.4× 164 1.4× 180 1.8× 65 0.7× 21 0.5× 28 740
John G. Hodge United States 5 294 0.7× 128 1.1× 78 0.8× 80 0.8× 18 0.5× 5 404

Countries citing papers authored by Max Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Max Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Feldman

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

All Works

18 of 18 papers shown
1.
2.
Lachowiec, Jennifer, et al.. (2024). Adoption of unoccupied aerial systems in agricultural research. SHILAP Revista de lepidopterología. 7(1). 6 indexed citations
3.
Feldman, Max, Nathan D. Miller, Collins Wakholi, et al.. (2024). A scalable, low‐cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations. SHILAP Revista de lepidopterología. 7(1). 3 indexed citations
4.
Anglin, Noelle L., Neil C. Gudmestad, Vidyasagar Sathuvalli, et al.. (2023). A Genome Wide Association Study (GWAS) Identifies SNPs Associated with Resistance to Tobacco Rattle Virus (TRV) and Potato Mop-Top Virus (PMTV) in a Tetraploid Mapping Population of Potato. American Journal of Potato Research. 101(1). 1–16.
5.
Matias, Filipe Inácio, Andrew Green, Jennifer Lachowiec, David LeBauer, & Max Feldman. (2022). Bison‐Fly: An open‐source UAV pipeline for plant breeding data collection. SHILAP Revista de lepidopterología. 5(1). 6 indexed citations
6.
Miller, Michael D., et al.. (2022). TubAR: an R Package for Quantifying Tuber Shape and Skin Traits from Images. American Journal of Potato Research. 100(1). 52–62. 5 indexed citations
7.
Rondon, Silvia I., et al.. (2021). Identifying Resistance to the Colorado Potato Beetle (Leptinotarsa decemlineata Say) in Potato Germplasm: Review Update. Frontiers in Agronomy. 3. 6 indexed citations
8.
Ellsworth, Patrick Z., Max Feldman, Ivan Baxter, & Asaph B. Cousins. (2020). A genetic link between leaf carbon isotope composition and whole‐plant water use efficiency in the C 4 grass Setaria. The Plant Journal. 102(6). 1234–1248. 23 indexed citations
9.
Qin, Ruijun, et al.. (2020). Effect of foliar application of 2,4‐D and calcium on red‐skinned potato cultivars. Agronomy Journal. 113(1). 88–98. 1 indexed citations
10.
Feldman, Max, Patrick Z. Ellsworth, Noah Fahlgren, et al.. (2018). Components of Water Use Efficiency Have Unique Genetic Signatures in the Model C 4 Grass Setaria. PLANT PHYSIOLOGY. 178(2). 699–715. 37 indexed citations
11.
Poirier, Brenton, Max Feldman, & B. Markus Lange. (2018). bHLH093/NFL and bHLH061 are required for apical meristem function in Arabidopsis thaliana. Plant Signaling & Behavior. 13(7). e1486146–e1486146. 13 indexed citations
12.
Paul, Rachel, et al.. (2018). High‐fidelity detection of crop biomass quantitative trait loci from low‐cost imaging in the field. Plant Direct. 2(2). e00041–e00041. 14 indexed citations
13.
Feldman, Max, Rachel Paul, José Sebastián, et al.. (2017). Time dependent genetic analysis links field and controlled environment phenotypes in the model C4 grass Setaria. PLoS Genetics. 13(6). e1006841–e1006841. 39 indexed citations
14.
Gehan, Malia, Noah Fahlgren, Arash Abbasi, et al.. (2017). PlantCV v2: Image analysis software for high-throughput plant phenotyping. PeerJ. 5. e4088–e4088. 210 indexed citations
15.
Sebastián, José, Muh‐Ching Yee, Willian G. Viana, et al.. (2016). Grasses suppress shoot-borne roots to conserve water during drought. Proceedings of the National Academy of Sciences. 113(31). 8861–8866. 87 indexed citations
16.
17.
Ben-Abu, Yuval, et al.. (2014). Durum wheat evolution - a genomic analysis.. 31–45. 2 indexed citations
18.
Sabelli, Paolo A., Yan Liu, Ricardo A. Dante, et al.. (2013). Control of cell proliferation, endoreduplication, cell size, and cell death by the retinoblastoma-related pathway in maize endosperm. Proceedings of the National Academy of Sciences. 110(19). E1827–36. 76 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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