Matthew J. Grossman

2.4k citations
43 papers · 1.8k indexed · h-index 22
Topics
Microbial bioremediation and biosurfactants (15 papers)Catalysis and Hydrodesulfurization Studies (8 papers)Toxic Organic Pollutants Impact (8 papers)

In The Last Decade

Matthew J. Grossman

43 papers receiving 1.7k citations

Peers

Matthew J. Grossman
Comparison fields: 5 of 102
  • Pollution 943
  • Health, Toxicology and Mutagenesis 410
  • Molecular Biology 407
  • Biomedical Engineering 365
  • Plant Science 257
Replace И. Б. Ившина with:
И. Б. Ившина Russia
Jun Guo China
Maria S. Kuyukina Russia
Adria A. Bodour United States
Karl‐Heinrich Engesser Germany
Juliana Heloisa Pinê Américo‐Pinheiro Brazil
Kunal Jain India
Santosh Kumar Dubey India
Félix Gutiérrez‐Corona Mexico
Michael Gatheru Waigi China
Matthew J. Grossman relative to И. Б. Ившина Russia И. Б. Ившина's profile →
Citations per field
00.5×1.5×2.3×
И. Б. Ившина · 1×
Citations per year

Countries citing papers authored by Matthew J. Grossman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Grossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Grossman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Grossman. A scholar is included among the top collaborators of Matthew J. Grossman 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 Matthew J. Grossman. Matthew J. Grossman 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 10
2 14
3 14
4 11
5 53
6 19
7 11
8 27
9 160
10 90
11 41
12 3
13 122
14 25
15 14
16 81
17 7
18
Laboratory studies of oil spill bioremediation; Toward understanding field behavior
4
19 18
20 5

About Matthew J. Grossman

Matthew J. Grossman is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Analytical Chemistry, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (15 papers), Catalysis and Hydrodesulfurization Studies (8 papers) and Toxic Organic Pollutants Impact (8 papers). The work is most often cited by research in Pollution (943 citations), Health, Toxicology and Mutagenesis (410 citations) and Analytical Chemistry (190 citations). Matthew J. Grossman has collaborated with scholars based in Brazil, United States and Canada. Frequent co-authors include Lúcia Regina Durrant, Roger C. Prince, Elisangela Franciscon, Ísis Serrano Silva, Andréia Fonseca de Faria, V. Minak-Bernero, Encarnación Mellado, Francine Piubeli, Richard E. Bare and Jon E. Lindstrom. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

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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