Mark A. Schell

8.3k citations
72 papers · 6.5k indexed · 2 hit papers · h-index 40

Mark A. Schell

72 papers receiving 6.3k citations

Hit Papers

The genome sequence of Bifidobacterium longum reflects it...7381993202620042015250500750

Peers

Mark A. Schell
Comparison fields: 5 of 133
  • Endocrinology 613
  • Plant Science 2.5k
  • Molecular Medicine 269
  • Food Science 868
  • Molecular Biology 3.0k
Replace László N. Csonka with:
László N. Csonka United States
Michael E. Kovach United States
U. B. Priefer Germany
René De Mot Belgium
Valley Stewart United States
Rosa Lanzetta Italy
Stephen K. Farrand United States
Jihyun F. Kim South Korea
Daniel J. O’Sullivan United States
Svetlana Gerdes United States
Mark A. Schell relative to László N. Csonka United States László N. Csonka's profile →
Citations per field
00.5×
László N. Csonka · 1×
Citations per year

Countries citing papers authored by Mark A. Schell

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Schell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mark A. Schell, 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 Mark A. Schell Line = papers co-authored together Mark A. Schell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201137
2 201133
3 201121
4 201038
5 200946
6 2007271
7 2005117
8 2005128
9 2002159
10 2001133
11 200039
12 199846
13 199845
14 1997234
15 199582
16 19952
17 199422
18
MOLECULAR BIOLOGY OF THE LysR FAMILY OF TRANSCRIPTIONAL REGULATORSbreakdown →
1993903
19 1988178
20 197763

About Mark A. Schell

Mark A. Schell is a scholar working on Plant Science, Endocrinology and Biotechnology, having authored 72 papers that have together received 6.5k indexed citations. Recurring topics across this work include Plant Pathogenic Bacteria Studies (35 papers), Legume Nitrogen Fixing Symbiosis (31 papers), Plant-Microbe Interactions and Immunity (26 papers), Burkholderia infections and melioidosis (10 papers), Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (5 papers), Infections and bacterial resistance (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Endocrinology (613 citations), Plant Science (2.5k citations) and Molecular Medicine (269 citations). Mark A. Schell has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Timothy P. Denny, Steven J. Clough, Huanli Liu, Yaowei Kang, Frank Desiere, Fabrizio Arigoni, Bernard Berger, R. David Pridmore, Daniel P. Roberts and David DeShazer. Their work appears in journals such as Journal of Bacteriology, Applied and Environmental Microbiology, Molecular Microbiology, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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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