Daniel R.H. Graf

1.4k citations
5 papers · 1.0k · 2 hit papers · h-index 5

Impact in

  • Pollution top 2%
    • Wastewater Treatment and Nitrogen Removal
    • Soil Carbon and Nitrogen Dynamics

Papers in

    • Microbial Community Ecology and Physiology 3
    • Soil Carbon and Nitrogen Dynamics 3

Daniel R.H. Graf

5 papers receiving 1.0k citations

Daniel R.H. Graf's Hit Papers

Intergenomic Comparisons Highlight Modularity of the Denitrification Pathway and Underpin the Importance of Community Structure for N2O Emissions 2014 · 422 citations
4220+4+9Years since publication100200300400500

Peers

Daniel R.H. Graf
Comparison fields: 5 of 58
  • Pollution 577
  • Soil Science 361
  • Ecology 691
  • Environmental Chemistry 227
  • Environmental Engineering 138
Replace Sharon Avrahami with:
Sharon Avrahami Germany
Lars R. Bakken Norway
Andreas Fesefeldt Germany
Yutaka Shiratori Japan
Jessica A. Kozlowski United States
Andrew T. Giguere United States
Allana Welsh United States
Rong Sheng China
Alexander Mergel Germany
Jiří Čuhel Czechia
Daniel R.H. Graf relative to Sharon Avrahami Germany Sharon Avrahami's profile →
Citations per field
00.5×4.6×
Sharon Avrahami · 1×
Citations per year

Countries citing papers authored by Daniel R.H. Graf

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R.H. Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R.H. Graf. 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 Daniel R.H. Graf. The network helps show where Daniel R.H. Graf may publish in the future.

Co-authors

The 7 scholars most cited alongside Daniel R.H. Graf, 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 Daniel R.H. Graf Line = papers co-authored together Daniel R.H. Graf links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Daniel R.H. Graf

Daniel R.H. Graf is a scholar working on Ecology, Soil Science, Plant Science, Pollution and Molecular Biology, having authored 5 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Plant nutrient uptake and metabolism (1 paper), Agronomic Practices and Intercropping Systems (1 paper), Protist diversity and phylogeny (1 paper) and Marine and coastal ecosystems (1 paper). The work is most often cited by research in Pollution (577 citations), Soil Science (361 citations), Ecology (691 citations), Environmental Chemistry (227 citations) and Environmental Engineering (138 citations). Daniel R.H. Graf has collaborated with scholars based in Sweden and France. Frequent co-authors include Christopher M. Jones, Sara Hallin, Laurent Philippot, David Bru, Ming Zhao, Georg Carlsson and Aurélien Saghaï. Their work appears in journals such as Soil Biology and Biochemistry, FEMS Microbiology Ecology, The ISME Journal and PLoS ONE.

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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