Walt Ream

2.0k citations
34 papers · 1.5k · h-index 20

Impact in

    • Transgenic Plants and Applications
    • Legume Nitrogen Fixing Symbiosis
    • Chromosomal and Genetic Variations
    • Plant-Microbe Interactions and Immunity

Papers in

    • Plant tissue culture and regeneration 16
    • CRISPR and Genetic Engineering 6
    • Chromosomal and Genetic Variations 7
    • Legume Nitrogen Fixing Symbiosis 5
    • Plant Pathogenic Bacteria Studies 5

Walt Ream

34 papers receiving 1.4k citations

Peers

Walt Ream
Comparison fields: 5 of 84
  • Biotechnology 340
  • Plant Science 783
  • Molecular Biology 949
  • Endocrinology 69
  • Paleontology 92
Replace Gabriel Padilla with:
Gabriel Padilla Brazil
Sang‐Hun Oh South Korea
Francesco Sala Italy
Gabriella De Lorenzis Italy
Patrice This France
Siddharth Tiwari India
Gernot Osthoff South Africa
Tue Sparholt Jørgensen Denmark
Roman Matyášek Czechia
Walt Ream relative to Gabriel Padilla Brazil Gabriel Padilla's profile →
Citations per field
00.5×4.8×
Gabriel Padilla · 1×
Citations per year

Countries citing papers authored by Walt Ream

Since Specialization
Citations

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

Fields of papers citing papers by Walt Ream

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Walt Ream, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Walt Ream Line = papers co-authored together Walt Ream links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995158
2 2006123
3 1986107
4 2000100
5 199894
6 199290
7 198990
8 199587
9 199683
10 198871
11 199257
12 199941
13 199941
14 200439
15 200133
16 199732
17 199728
18 200426
19 200222
20 200420

About Walt Ream

Walt Ream is a scholar working on Molecular Biology, Plant Science, Genetics, Nutrition and Dietetics and Biotechnology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (16 papers), Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers), Legume Nitrogen Fixing Symbiosis (5 papers), Trace Elements in Health (5 papers), Selenium in Biological Systems (5 papers), Plant Pathogenic Bacteria Studies (5 papers) and Forensic and Genetic Research (4 papers). The work is most often cited by research in Biotechnology (340 citations), Plant Science (783 citations), Molecular Biology (949 citations), Endocrinology (69 citations) and Paleontology (92 citations). Walt Ream has collaborated with scholars based in United States, Germany and Slovakia. Frequent co-authors include Larry D. Hodges, Stanton B. Gelvin, Jerry H. Haas, Claire E. Shurvinton, Linda W. Moore, Shulamit Manulis, P.D. Whanger, Ernest G. Peralta, Renate Hellmiss and Orin C. Shanks. Their work appears in journals such as Journal of Bacteriology, Journal of Archaeological Science, Microbial Biotechnology, Proceedings of the National Academy of Sciences and BioMetals.

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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