James J. Campanella

1.6k citations
35 papers · 1.4k indexed · 1 hit paper · h-index 15
Topics
Marine and coastal plant biology (8 papers)Genetic diversity and population structure (8 papers)Plant nutrient uptake and metabolism (7 papers)

In The Last Decade

James J. Campanella

32 papers receiving 1.3k citations

Hit Papers

MatGAT: An application that generates similarity/identity...20032026201020182003250500750

Peers

James J. Campanella
Comparison fields: 5 of 114
  • Molecular Biology 514
  • Plant Science 477
  • Immunology 322
  • Ecology 143
  • Genetics 134
Replace John V. Smalley with:
John V. Smalley United States
Gail E. Gasparich United States
Emeline Deleury France
Bruce A. Curtis Canada
Derek Butler Netherlands
Ann M. Fallon United States
Magnús Halldór Gíslason Denmark
Françoise Lethiec France
Elói S. Garcia Brazil
Zhiying Zhao United States
James J. Campanella relative to John V. Smalley United States John V. Smalley's profile →
Citations per field
00.5×1.5×2.2×
John V. Smalley · 1×
Citations per year

Countries citing papers authored by James J. Campanella

Since Specialization
Citations

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

Fields of papers citing papers by James J. Campanella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James J. Campanella

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Campanella. A scholar is included among the top collaborators of James J. Campanella 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 James J. Campanella. James J. Campanella 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 1
3 2
4 11
5 0
6 4
7 49
8 20
9 23
10 7
11 18
12 14
13 13
14 51
15 15
16 35
17
MatGAT: An application that generates similarity/identity matrices using protein or DNA sequencesbreakdown →
771
18 33
19 1
20 27

About James J. Campanella

James J. Campanella is a scholar working on Oceanography, Ecology and Plant Science, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Marine and coastal plant biology (8 papers), Genetic diversity and population structure (8 papers) and Plant nutrient uptake and metabolism (7 papers). The work is most often cited by research in Immunology (322 citations), Plant Science (477 citations) and Endocrinology (56 citations). James J. Campanella has collaborated with scholars based in United States, Germany and Croatia. Frequent co-authors include John V. Smalley, Jutta Ludwig‐Müller, Stephanie M. Smith, Paul A.X. Bologna, Volker Magnus, Seth A. Brodie, Christopher D. Town, Jim Provan, Lichun Zhang and Alessandro Palmieri. Their work appears in journals such as PLANT PHYSIOLOGY, Journal of Power Sources and BMC Bioinformatics.

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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