Brian Grajeda

19 papers receiving 232 citations

Peers

Brian Grajeda
Comparison fields: 5 of 63
  • Parasitology 36
  • Infectious Diseases 50
  • Neurology 33
  • Immunology 32
  • Epidemiology 52
Replace Sreelakshmi K. Sreenivasamurthy with:
Sreelakshmi K. Sreenivasamurthy India
Batsheva Rozman Israel
Shuxian Liu China
Nahuel Zamponi United States
Julienne Jagdeo Canada
Michela Masetti Italy
Katharina Roß Germany
Chad V. Kuny United States
Marie Pourcelot France
Brian Grajeda relative to Sreelakshmi K. Sreenivasamurthy India Sreelakshmi K. Sreenivasamurthy's profile →
Citations per field
00.5×5.8×
Sreelakshmi K. Sreenivasamurthy · 1×
Citations per year

Countries citing papers authored by Brian Grajeda

Since Specialization
Citations

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

Fields of papers citing papers by Brian Grajeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Grajeda. 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 Brian Grajeda. The network helps show where Brian Grajeda may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202055
2 202237
3 202019
4 201919
5 202214
6 202313
7 202212
8 202211
9 202210
10 20229
11 20237
12 20247
13 20196
14 20225
15 20233
16 20212
17 20241
18 20211
19 20241
20 20230

About Brian Grajeda

Brian Grajeda is a scholar working on Molecular Biology, Genetics, Neurology, Oncology and Epidemiology, having authored 21 papers that have together received 232 indexed citations. Recurring topics across this work include Vascular Malformations Diagnosis and Treatment (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Estrogen and related hormone effects (4 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Parasitic Infections and Diagnostics (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer Cells and Metastasis (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Parasitology (36 citations), Infectious Diseases (50 citations), Neurology (33 citations), Immunology (32 citations) and Epidemiology (52 citations). Brian Grajeda has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Cameron C. Ellis, Igor C. Almeida, Jun Zhang, Patrícia Xander, André Cronemberger Andrade, Ana Cláudia Torrecilhas, Marco Antônio Campos, Rodrigo Pedro Soares, Yifat Ofir‐Birin and Natália Lima Pessoa. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, International Journal of Molecular Sciences, Differentiation, Journal of Cellular Biochemistry and Gene.

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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