Jay Gerlach

2.5k citations
11 papers · 482 · h-index 9

Impact in

    • Biosensors and Analytical Detection
    • Microfluidic and Capillary Electrophoresis Applications
    • Microfluidic and Bio-sensing Technologies
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • SARS-CoV-2 detection and testing

Papers in

Jay Gerlach

11 papers receiving 462 citations

Peers

Jay Gerlach
Comparison fields: 5 of 83
  • Biomedical Engineering 328
  • Infectious Diseases 106
  • Virology 22
  • Parasitology 19
  • Molecular Biology 162
Replace Maria Y. Giovanni with:
Maria Y. Giovanni United States
Alexey Atrazhev Canada
Md Alamgir Kabir United States
Fu Sun United States
Marcellene A. Gates‐Hollingsworth United States
Iván Hernández-Neuta Sweden
Devora Najjar United States
Tito Bacarese-Hamilton United Kingdom
Alexander Y. Trick United States
Pi‐Chun Li Taiwan
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Citations per field
00.5×4.4×
Maria Y. Giovanni · 1×
Citations per year

Countries citing papers authored by Jay Gerlach

Since Specialization
Citations

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

Fields of papers citing papers by Jay Gerlach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2008212
2 2011121
3 201041
4 201027
5 201025
6 201116
7 202015
8 201012
9 20089
10
[On the problem of metastasis of brain tumors into the body].
19593
11
[Clinical aspects of capillary intracerebral angioma].
19581

About Jay Gerlach

Jay Gerlach is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Biomedical Engineering, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 482 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), Mosquito-borne diseases and control (3 papers), Malaria Research and Control (2 papers), HIV/AIDS drug development and treatment (2 papers), Viral gastroenteritis research and epidemiology (2 papers), HIV Research and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper) and Vascular Malformations Diagnosis and Treatment (1 paper). The work is most often cited by research in Biomedical Engineering (328 citations), Infectious Diseases (106 citations), Virology (22 citations), Parasitology (19 citations) and Molecular Biology (162 citations). Jay Gerlach has collaborated with scholars based in United States, Kenya and South Africa. Frequent co-authors include Bernhard H. Weigl, Paul LaBarre, Gonzalo J. Domingo, Jared Wilmoth, Jered Singleton, David S. Boyle, Kenneth Hawkins, Adrian Puren, David M. Kelso and John Waitumbi. Their work appears in journals such as Clinical Chemistry, Journal of the International AIDS Society, Tropical Medicine & International Health, The Journal of Infectious Diseases and Lab on a Chip.

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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