Sam Zaremba

2.5k citations
19 papers · 1.6k indexed · 1 hit paper · h-index 13
Topics
vaccines and immunoinformatics approaches (5 papers)Immunotherapy and Immune Responses (5 papers)T-cell and B-cell Immunology (5 papers)
Partner nations
United States

In The Last Decade

Sam Zaremba

19 papers receiving 1.5k citations

Hit Papers

ViPR: an open bioinformatics database and analysis resour...20112026201620212011100200300400

Peers

Sam Zaremba
Comparison fields: 5 of 114
  • Molecular Biology 728
  • Infectious Diseases 412
  • Immunology 327
  • Epidemiology 321
  • Cell Biology 171
Replace Rodney Colina with:
Rodney Colina Uruguay
Penny P. Powell United Kingdom
Ralph Feuer United States
Juan E. Abrahante United States
Anna K. Överby Sweden
Paul D. Friesen United States
Kritaya Kongsuwan Australia
Shelton S. Bradrick United States
Penny Clarke United States
Michael J. de Veer Australia
Sam Zaremba relative to Rodney Colina Uruguay Rodney Colina's profile →
Citations per field
00.5×1.5×
Rodney Colina · 1×
Citations per year

Countries citing papers authored by Sam Zaremba

Since Specialization
Citations

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

Fields of papers citing papers by Sam Zaremba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Zaremba

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Zaremba. A scholar is included among the top collaborators of Sam Zaremba 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 Sam Zaremba. Sam Zaremba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 231
3 118
4
ViPR: an open bioinformatics database and analysis resource for virology researchbreakdown →
482
5 16
6 134
7 63
8 110
9 2
10 46
11 37
12 34
13 5
14 57
15 168
16 2
17 3
18 51
19 6

About Sam Zaremba

Sam Zaremba is a scholar working on Cell Biology, Immunology and Endocrinology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (5 papers), Immunotherapy and Immune Responses (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Infectious Diseases (412 citations), Immunology (327 citations) and Endocrinology (68 citations). Sam Zaremba has collaborated with scholars based in United States. Frequent co-authors include Susan Hockfield, Edward B. Klem, Sanjeev Kumar, Richard H. Scheuermann, Li‐Wei Zhou, Yun Zhang, Brett E Pickett, Victoria Hunt, R. Burke Squires and Robert G. Kalb. Their work appears in journals such as Nucleic Acids Research, Neuron and Bioinformatics.

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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