Maxim Blum

1.1k citations
9 papers · 155 · h-index 5

Impact in

Papers in

    • Viral Infections and Vectors 5
    • Dermatological diseases and infestations 1
    • Vector-borne infectious diseases 5
    • Bartonella species infections research 1

Maxim Blum

8 papers receiving 155 citations

Peers

Maxim Blum
Comparison fields: 5 of 26
  • Parasitology 43
  • Infectious Diseases 113
  • Hepatology 37
  • Animal Science and Zoology 44
  • Health 14
Replace Cynthia Vázquez with:
Cynthia Vázquez Paraguay
Sunethra Gunasena Sri Lanka
Nataša Berginc Slovenia
Martina Kovac United States
Ayşe Başak Altaş Türkiye
N Ion-Nedelcu United States
K. K. Kyuregyan Russia
Ivan Schréter Slovakia
Denise Cotrim da Cunha Brazil
Fredman González Nicaragua
Maxim Blum relative to Cynthia Vázquez Paraguay Cynthia Vázquez's profile →
Citations per field
00.5×
Cynthia Vázquez · 1×
Citations per year

Countries citing papers authored by Maxim Blum

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201288
2 201339
3 20238
4 20226
5 20235
6 20234
7 20234
8 20251
9 20250

About Maxim Blum

Maxim Blum is a scholar working on Infectious Diseases, Parasitology, Public Health, Environmental and Occupational Health, Epidemiology and Endocrinology, having authored 9 papers that have together received 155 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (5 papers), Viral Infections and Vectors (5 papers), Zoonotic diseases and public health (3 papers), Escherichia coli research studies (2 papers), Urinary Tract Infections Management (2 papers), Bartonella species infections research (1 paper), Animal Virus Infections Studies (1 paper) and Dermatological diseases and infestations (1 paper). The work is most often cited by research in Parasitology (43 citations), Infectious Diseases (113 citations), Hepatology (37 citations), Animal Science and Zoology (44 citations) and Health (14 citations). Maxim Blum has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include F. Raúl Velázquez, Eduardo Ortega‐Barría, Thomas Breuer, Rodrigo DeAntonio, Thomas Verstraeten, Rómulo E. Colindres, Concepción Grajales-Muñíz, Anita Rack, Michael E. Greenberg and Andrea Streng. Their work appears in journals such as Vector-Borne and Zoonotic Diseases, The Pediatric Infectious Disease Journal, Epidemiology and Infection, Infectious Diseases and Therapy and Ticks and Tick-borne Diseases.

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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