Lisa C. Zaba

14.9k total citations · 5 hit papers
70 papers, 10.0k citations indexed

About

Lisa C. Zaba is a scholar working on Oncology, Immunology and Dermatology. According to data from OpenAlex, Lisa C. Zaba has authored 70 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 27 papers in Immunology and 20 papers in Dermatology. Recurrent topics in Lisa C. Zaba's work include Polyomavirus and related diseases (18 papers), Psoriasis: Treatment and Pathogenesis (14 papers) and Full-Duplex Wireless Communications (12 papers). Lisa C. Zaba is often cited by papers focused on Polyomavirus and related diseases (18 papers), Psoriasis: Treatment and Pathogenesis (14 papers) and Full-Duplex Wireless Communications (12 papers). Lisa C. Zaba collaborates with scholars based in United States, Israel and China. Lisa C. Zaba's co-authors include Howard Y. Chang, Paul G. Giresi, William J. Greenleaf, Jason D. Buenrostro, James G. Krueger, Michelle A. Lowes, Judilyn Fuentes‐Duculan, Irma Cardinale, Mayte Suárez‐Fariñas and Kristine Nograles and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Lisa C. Zaba

65 papers receiving 9.9k citations

Hit Papers

Transposition of native chromatin for fast and sensitive ... 2007 2026 2013 2019 2013 2008 2008 2007 2009 1000 2.0k 3.0k

Peers

Lisa C. Zaba
Comparison fields: 5 of 135
  • Immunology 5.0k
  • Molecular Biology 4.0k
  • Dermatology 2.7k
  • Physiology 1.4k
  • Oncology 1.1k
Replace Andrew G. Farr with:
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Andrew G. Farr United States View profile →
Citations per field, relative to Lisa C. Zaba
Lisa C. Zaba · 1×
Citations per year, relative to Lisa C. Zaba
Lisa C. Zaba · 1×

Countries citing papers authored by Lisa C. Zaba

Since Specialization
Citations

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

Fields of papers citing papers by Lisa C. Zaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa C. Zaba. 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 Lisa C. Zaba. The network helps show where Lisa C. Zaba may publish in the future.

Co-authorship network of co-authors of Lisa C. Zaba

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa C. Zaba. A scholar is included among the top collaborators of Lisa C. Zaba 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 Lisa C. Zaba. Lisa C. Zaba 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
# Work Indexed citations
1 0
2 0
3 0
4 12
5 1
6 25
7 1
8 14
9 1
10 0
11 2
12 28
13 1
14 10
15 111
16 105
17 261
18
Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position breakdown →
3915
19 232
20 347

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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2026