J.J. Blum

804 citations
43 papers · 715 indexed · h-index 17
Topics
Research on Leishmaniasis Studies (20 papers)Trypanosoma species research and implications (13 papers)Protist diversity and phylogeny (5 papers)

In The Last Decade

J.J. Blum

43 papers receiving 683 citations

Peers

J.J. Blum
Comparison fields: 5 of 95
  • Molecular Biology 314
  • Epidemiology 314
  • Public Health, Environmental and Occupational Health 308
  • Physiology 89
  • Ecology 79
Replace Nelia M. Gerez de Burgos with:
Nelia M. Gerez de Burgos Argentina
Stuart M. Krassner United States
J. Florin‐Christensen Argentina
Zakayi Kabututu Japan
R. Brightwell Kenya
Geoffrey M. Kapler United States
M. Chaudhri United Kingdom
José L. Saborío Mexico
Sydney P. Craig United States
J Hanocq-Quertier Belgium
J.J. Blum relative to Nelia M. Gerez de Burgos Argentina Nelia M. Gerez de Burgos's profile →
Citations per field
00.5×1.5×2.3×
Nelia M. Gerez de Burgos · 1×
Citations per year

Countries citing papers authored by J.J. Blum

Since Specialization
Citations

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

Fields of papers citing papers by J.J. Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.J. Blum

This figure shows the co-authorship network connecting the top 25 collaborators of J.J. Blum. A scholar is included among the top collaborators of J.J. Blum 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 J.J. Blum. J.J. Blum 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 14
2 16
3 34
4 1
5 28
6 6
7
Uncoupling of M-phase kinase activation from the completion of S-phase by heat shock.
19
8 13
9 36
10 58
11 17
12 21
13 23
14 7
15 14
16 6
17 28
18 2
19 48
20 13

About J.J. Blum

J.J. Blum is a scholar working on Public Health, Environmental and Occupational Health, Clinical Biochemistry and Insect Science, having authored 43 papers that have together received 715 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (20 papers), Trypanosoma species research and implications (13 papers) and Protist diversity and phylogeny (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (308 citations), Epidemiology (314 citations) and Parasitology (44 citations). J.J. Blum has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Thomas N. Darling, Thomas L. Rothstein, D E Cool, Andrew E. Balber, Ann LeFurgey, Peter Ingram, Varda Kahn, Fred R. Opperdoes, Grant H. Barlow and G. Wesley Vick. Their work appears in journals such as Science, Journal of Biological Chemistry and The Journal of Cell Biology.

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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