Maria M. Campos

10.0k citations
189 papers · 8.0k indexed · 2 hit papers · h-index 47

Maria M. Campos

188 papers receiving 7.8k citations

Hit Papers

Medicinal plants in Brazil: Pharmacological s...2972007202620132019100200300400

Peers

Maria M. Campos
Comparison fields: 5 of 158
  • Genetics 1.3k
  • Physiology 404
  • Pharmacology 741
  • Biological Psychiatry 173
  • Sensory Systems 292
Replace Chuen‐Mao Yang with:
Chuen‐Mao Yang Taiwan
Soo Young Choi South Korea
Hideaki Hara Japan
Juliano Ferreira Brazil
Young‐Myeong Kim South Korea
Hong Wang China
S. H. Ferreira Brazil
Emanuela Esposito Italy
Young‐Guen Kwon South Korea
Makoto Murakami Japan
Maria M. Campos relative to Chuen‐Mao Yang Taiwan Chuen‐Mao Yang's profile →
Citations per field
00.5×2.6×
Chuen‐Mao Yang · 1×
Citations per year

Countries citing papers authored by Maria M. Campos

Since Specialization
Citations

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

Fields of papers citing papers by Maria M. Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria M. Campos. 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 Maria M. Campos. The network helps show where Maria M. Campos may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202312
3 202014
4 20194
5 20176
6 201729
7 201634
8 201539
9 201320
10 201318
11
Use of cone beam tomography to evaluate intracanal medications in a rat model of apical periodontitis
20120
12 201118
13 2009107
14 2007248
15 200618
16 200490
17 2004176
18 200326
19 20026
20
Multidrug resistence in leukemias: the problem and some approaches to its circumvention
19942

About Maria M. Campos

Maria M. Campos is a scholar working on Genetics, Physiology and Sensory Systems, having authored 189 papers that have together received 8.0k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (45 papers), Mast cells and histamine (30 papers), Pain Mechanisms and Treatments (23 papers), Adenosine and Purinergic Signaling (16 papers), Tuberculosis Research and Epidemiology (14 papers), Neuropeptides and Animal Physiology (10 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers) and Phytochemical compounds biological activities (9 papers). The work is most often cited by research in Genetics (1.3k citations), Physiology (404 citations) and Pharmacology (741 citations). Maria M. Campos has collaborated with scholars based in Brazil, Canada and United States. Frequent co-authors include João Β. Calixto, Juliano Ferreira, Adair R.S. Santos, Elizabeth S. Fernandes, Giselle F. Passos, Rodrigo Medeiros, Daniela Almeida Cabrini, Rafael C. Dutra, Fernanda Marques da Cunha and Maurı́cio Reis Bogo. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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