J. Schell

6.7k total citations · 1 hit paper
70 papers, 5.0k citations indexed

About

J. Schell is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, J. Schell has authored 70 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 46 papers in Plant Science and 13 papers in Biotechnology. Recurrent topics in J. Schell's work include Plant tissue culture and regeneration (34 papers), Legume Nitrogen Fixing Symbiosis (12 papers) and Transgenic Plants and Applications (11 papers). J. Schell is often cited by papers focused on Plant tissue culture and regeneration (34 papers), Legume Nitrogen Fixing Symbiosis (12 papers) and Transgenic Plants and Applications (11 papers). J. Schell collaborates with scholars based in Germany, Belgium and United States. J. Schell's co-authors include Marc Van Montagu, Eric Messens, Luís Herrera‐Estrella, Ann Depicker, M. Holsters, Danny De Waele, Thomas Schmülling, Angelo Spena, Csaba Koncz and Marc De Block and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

J. Schell

68 papers receiving 4.6k citations

Hit Papers

Transfection and transformation of Agrobacterium tumefaciens 1978 2026 1994 2010 1978 250 500 750

Peers

J. Schell
Comparison fields: 5 of 85
  • Molecular Biology 4.2k
  • Plant Science 3.5k
  • Biotechnology 1.4k
  • Genetics 320
  • Ecology 245
Replace M P Gordon with:
M P Gordon United States
J. Leemans Belgium
Jacques Tempé France
Mary-Dell Chilton United States
Eric Messens Belgium
R.T. Fraley United States
John Bedbrook United States
R. A. Schilperoort Netherlands
Tzvi Tzfira United States
André Hoekema United States
M P Gordon United States View profile →
Citations per field, relative to J. Schell
J. Schell · 1×
Citations per year, relative to J. Schell
J. Schell · 1×

Countries citing papers authored by J. Schell

Since Specialization
Citations

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

Fields of papers citing papers by J. Schell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Schell

This figure shows the co-authorship network connecting the top 25 collaborators of J. Schell. A scholar is included among the top collaborators of J. Schell 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 J. Schell. J. Schell 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
# Work Indexed citations
1 36
2 36
3
The use of gene vectors in plant molecular biology
25
4 35
5 22
6 32
7 43
8 40
9 43
10 34
11 62
12 21
13 328
14 66
15 37
16 250
17 332
18
Possibilities for transferring phage Mu into most gram-negative bacteria.
2
19
A general method for the isolation of non-sense suppressor strains in gram-negative bacteria.
1
20 12

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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