Michael J. Axtell

17.5k citations
61 papers · 9.4k indexed · 8 hit papers · h-index 38
Topics
Plant Molecular Biology Research (44 papers)Chromosomal and Genetic Variations (27 papers)Plant Virus Research Studies (13 papers)

In The Last Decade

Michael J. Axtell

60 papers receiving 9.3k citations

Hit Papers

Large-Scale Sequencing Reveals 21U-RNAs and Additional Mi...200320262010201820062013200320082008250500750

Peers

Michael J. Axtell
Comparison fields: 5 of 113
  • Plant Science 7.9k
  • Molecular Biology 4.9k
  • Cancer Research 1.2k
  • Endocrinology 363
  • Ecology, Evolution, Behavior and Systematics 258
Replace Daniel Zilberman with:
Daniel Zilberman United States
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Michael J. Axtell relative to Daniel Zilberman United States Daniel Zilberman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael J. Axtell

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Axtell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Axtell. 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 Michael J. Axtell. The network helps show where Michael J. Axtell may publish in the future.

Co-authorship network of co-authors of Michael J. Axtell

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 14
3 18
4 54
5 50
6 23
7 18
8
Revisiting Criteria for Plant MicroRNA Annotation in the Era of Big Databreakdown →
300
9
MicroRNAs from the parasitic plant Cuscuta campestris target host messenger RNAsbreakdown →
279
10 36
11 190
12 15
13 25
14 60
15 11
16 58
17
Large-Scale Sequencing Reveals 21U-RNAs and Additional MicroRNAs and Endogenous siRNAs in C. elegansbreakdown →
774
18 473
19
Initiation of RPS2-Specified Disease Resistance in Arabidopsis Is Coupled to the AvrRpt2-Directed Elimination of RIN4breakdown →
655
20 48

About Michael J. Axtell

Michael J. Axtell is a scholar working on Plant Science, Endocrinology and Cancer Research, having authored 61 papers that have together received 9.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (44 papers), Chromosomal and Genetic Variations (27 papers) and Plant Virus Research Studies (13 papers). The work is most often cited by research in Plant Science (7.9k citations), Aging (178 citations) and Cancer Research (1.2k citations). Michael J. Axtell has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include David P. Bartel, Brian J. Staskawicz, Charles Addo‐Quaye, Ceyda Çoruh, Webb Miller, John L. Bowman, Blake C. Meyers, Ramya Rajagopalan, Jakub Orzechowski Westholm and Eric C. Lai. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.

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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