Danae Schulz

22 papers receiving 449 citations

Peers

Danae Schulz
Comparison fields: 5 of 49
  • Immunology 146
  • Epidemiology 133
  • Molecular Biology 254
  • Parasitology 24
  • Public Health, Environmental and Occupational Health 80
Replace Srdjan M. Dragovic with:
Srdjan M. Dragovic United States
Suk Min Jang United States
Joshua R. Lacsina United States
Barbara Yutzy Germany
Xiulan Zhou United States
Benjamin K. Dickerman Australia
Justin M. Pare Canada
Terence D. Prospero United Kingdom
David Mekhaiel United Kingdom
Zoe H. Davis United States
Danae Schulz relative to Srdjan M. Dragovic United States Srdjan M. Dragovic's profile →
Citations per field
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Srdjan M. Dragovic · 1×
Citations per year

Countries citing papers authored by Danae Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Danae Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011174
2 201556
3 201646
4 201136
5 201134
6 200732
7 202015
8 201514
9 20237
10 20167
11 20136
12 20206
13 20225
14 20244
15 20233
16 20163
17 20253
18 20162
19 20162
20 20092

About Danae Schulz

Danae Schulz is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Immunology, Virology and Molecular Biology, having authored 23 papers that have together received 459 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (12 papers), Research on Leishmaniasis Studies (6 papers), Protein Degradation and Inhibitors (4 papers), Insect symbiosis and bacterial influences (3 papers), Genomics and Chromatin Dynamics (3 papers), HIV Research and Treatment (3 papers), T-cell and B-cell Immunology (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Immunology (146 citations), Epidemiology (133 citations), Molecular Biology (254 citations), Parasitology (24 citations) and Public Health, Environmental and Occupational Health (80 citations). Danae Schulz has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Fotini Nina Papavasiliou, Mark S. Schlissel, Hee‐Sook Kim, Monica R. Mugnier, Christian Vettermann, Claudia Bossen, Zhongliang Ju, Yin Chun Lin, Jiyoti Verma‐Gaur and Barbara K. Birshtein. Their work appears in journals such as Journal of Visualized Experiments, PLoS Genetics, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and mSphere.

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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