Jake Baum

132 papers receiving 7.1k citations

Jake Baum's Hit Papers

Cell-Cell Communication between Malaria-Infected Red Blood Cells via Exosome-like Vesicles 2013 · 482 citations
4820+4+8Years since publication100200300400

Peers

Jake Baum
Comparison fields: 5 of 129
  • Public Health, Environmental and Occupational Health 4.3k
  • Parasitology 767
  • Structural Biology 159
  • Cell Biology 259
  • Molecular Biology 1.1k
Replace Melanie Rug with:
Melanie Rug Australia
Rushika M. Perera United States
Kai Matuschewski Germany
Michael Lanzer Germany
Yorgo Modis United States
Alister Gordon Craig United Kingdom
Paul R. Gilson Australia
Chris J. Janse Netherlands
Manoj T. Duraisingh United States
Michael R. Holbrook United States
Jake Baum relative to Melanie Rug Australia Melanie Rug's profile →
Citations per field
00.5×2×2.5×
Melanie Rug · 1×
Citations per year

Countries citing papers authored by Jake Baum

Since Specialization
Citations

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

Fields of papers citing papers by Jake Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cell-Cell Communication between Malaria-Infected Red Blood Cells via Exosome-like Vesicles
Hit paper breakdown →
2013482
2 2005292
3 2011288
4 2012276
5 2014263
6 2012255
7 2010246
8 2010212
9 2008205
10 2009162
11 2008146
12 2006141
13 2017135
14 2011129
15 2005122
16 2019118
17 2002117
18 2012117
19 2016115
20 2003109

About Jake Baum

Jake Baum is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Cell Biology, Molecular Biology and Biophysics, having authored 135 papers that have together received 7.2k indexed citations. Recurring topics across this work include Malaria Research and Control (110 papers), Toxoplasma gondii Research Studies (8 papers), Cellular Mechanics and Interactions (6 papers), RNA and protein synthesis mechanisms (3 papers), Biosensors and Analytical Detection (3 papers), Heat shock proteins research (2 papers), Digital Imaging for Blood Diseases (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (4.3k citations), Parasitology (767 citations), Structural Biology (159 citations), Cell Biology (259 citations) and Molecular Biology (1.1k citations). Jake Baum has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Alan F. Cowman, David J. Conway, Stuart A. Ralph, David T. Riglar, Melanie Rug, Danny William Wilson, Fiona Angrisano, Dave Richard, James G. Beeson and Tim‐Wolf Gilberger. Their work appears in journals such as Nature Communications, PLoS Pathogens, ACS Infectious Diseases, Journal of Medicinal Chemistry and Cell Host & Microbe.

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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