M.C.R. Peralba

1.2k citations
24 papers · 951 · h-index 15

Impact in

Papers in

M.C.R. Peralba

24 papers receiving 920 citations

Peers

M.C.R. Peralba
Comparison fields: 5 of 107
  • Pollution 437
  • Health, Toxicology and Mutagenesis 218
  • Environmental Chemistry 98
  • Ecology 242
  • Geochemistry and Petrology 53
Replace Ali A.Z. DouAbul with:
Ali A.Z. DouAbul Iraq
Ângela de Luca Rebello Wagener Brazil
Daniel G. Holdsworth Australia
Miao Jin China
Kathleen L. Londry Canada
Chuanyuan Wang China
Renato Rodrigues Neto Brazil
Xian-Lin Luo China
John P. Hassett United States
J. Bartocci Monaco
M.C.R. Peralba relative to Ali A.Z. DouAbul Iraq Ali A.Z. DouAbul's profile →
Citations per field
00.5×3.4×
Ali A.Z. DouAbul · 1×
Citations per year

Countries citing papers authored by M.C.R. Peralba

Since Specialization
Citations

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

Fields of papers citing papers by M.C.R. Peralba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C.R. Peralba. 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 M.C.R. Peralba. The network helps show where M.C.R. Peralba may publish in the future.

Co-authors

The 25 scholars most cited alongside M.C.R. Peralba, 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 M.C.R. Peralba Line = papers co-authored together M.C.R. Peralba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007178
2 2001171
3 200594
4 200187
5 200858
6 200742
7 200939
8 201238
9 200736
10 200830
11 200927
12 200922
13 201820
14 200420
15 200719
16 200614
17 201314
18 202013
19 201510
20 20148

About M.C.R. Peralba

M.C.R. Peralba is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Mechanics of Materials, Analytical Chemistry and Plant Science, having authored 24 papers that have together received 951 indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (6 papers), Hydrocarbon exploration and reservoir analysis (6 papers), Toxic Organic Pollutants Impact (5 papers), Heavy metals in environment (4 papers), Pesticide and Herbicide Environmental Studies (3 papers), Petroleum Processing and Analysis (3 papers), Analytical chemistry methods development (3 papers) and Marine and coastal ecosystems (2 papers). The work is most often cited by research in Pollution (437 citations), Health, Toxicology and Mutagenesis (218 citations), Environmental Chemistry (98 citations), Ecology (242 citations) and Geochemistry and Petrology (53 citations). M.C.R. Peralba has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Flavio Anastácio de Oliveira Camargo, Maria Hernandez, Ralph N. Mead, Rodrigo Josemar Seminoti Jacques, Rudolf Jaffé, Fátima Menezes Bento, Benedict C. Okeke, João Henrique Zimnoch dos Santos, Aline Schneider Teixeira and Mara Silveira Benfato. Their work appears in journals such as Water Air & Soil Pollution, Journal of Environmental Science and Health Part B, The journal of nutrition health & aging, Organic Geochemistry and Fuel Science and Technology International.

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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