Rosa Krajmalnik‐Brown

21.2k citations
147 papers · 14.6k indexed · 7 hit papers · h-index 51

Rosa Krajmalnik‐Brown

146 papers receiving 14.2k citations

Hit Papers

Long-term benefit of Microbiota Tr...504200920262014202050010001.5k2.0k2.5k

Peers

Rosa Krajmalnik‐Brown
Comparison fields: 5 of 179
  • Biological Psychiatry 1.0k
  • Gastroenterology 1.1k
  • Pollution 2.2k
  • Environmental Engineering 2.5k
  • Physiology 2.8k
Replace Stefan J. Green with:
Stefan J. Green United States
Tom Van de Wiele Belgium
Paul Wilmes Luxembourg
Wei Chen China
Liping Zhao China
Zehra Esra Ilhan United States
Dae‐Wook Kang United States
Karsten Zengler United States
Hongwei Zhou China
Honglei Chen United States
Rosa Krajmalnik‐Brown relative to Stefan J. Green United States Stefan J. Green's profile →
Citations per field
00.5×5.8×
Stefan J. Green · 1×
Citations per year

Countries citing papers authored by Rosa Krajmalnik‐Brown

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Krajmalnik‐Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Krajmalnik‐Brown. 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 Rosa Krajmalnik‐Brown. The network helps show where Rosa Krajmalnik‐Brown may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Rosa Krajmalnik‐Brown, 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 Rosa Krajmalnik‐Brown Line = papers co-authored together Rosa Krajmalnik‐Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20258
3 202410
4 202382
5 20239
6 202316
7 20227
8 202114
9 202070
10 202018
11 2020100
12 202078
13 202024
14 201913
15 201921
16 201795
17 2017265
18
Gut Microbiota Regulate Motor Deficits and Neuroinflammation in a Model of Parkinson’s Diseasebreakdown →
20162573
19 201175
20
Human gut microbiota in obesity and after gastric bypassbreakdown →
20091481

About Rosa Krajmalnik‐Brown

Rosa Krajmalnik‐Brown is a scholar working on Pollution, Environmental Engineering and Health, Toxicology and Mutagenesis, having authored 147 papers that have together received 14.6k indexed citations. Recurring topics across this work include Gut microbiota and health (39 papers), Microbial Fuel Cells and Bioremediation (39 papers), Microbial bioremediation and biosurfactants (31 papers), Microbial Community Ecology and Physiology (22 papers), Water Treatment and Disinfection (19 papers), Diet and metabolism studies (15 papers), Chemical Analysis and Environmental Impact (13 papers) and Electrochemical sensors and biosensors (12 papers). The work is most often cited by research in Biological Psychiatry (1.0k citations), Gastroenterology (1.1k citations) and Pollution (2.2k citations). Rosa Krajmalnik‐Brown has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Bruce E. Rittmann, Dae‐Wook Kang, Zehra Esra Ilhan, Prathap Parameswaran, John K. DiBaise, César I. Torres, James B. Adams, Husen Zhang, Michael D. Crowell and Andrew K. Marcus. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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