Zach Zundel

706 citations
13 papers · 296 indexed · h-index 8
Topics
Gene Regulatory Network Analysis (13 papers)Microbial Metabolic Engineering and Bioproduction (8 papers)Bioinformatics and Genomic Networks (3 papers)

In The Last Decade

Zach Zundel

13 papers receiving 294 citations

Peers

Zach Zundel
Comparison fields: 5 of 28
  • Molecular Biology 283
  • Information Systems and Management 52
  • Genetics 33
  • Artificial Intelligence 29
  • Biomedical Engineering 19
Replace James Alastair McLaughlin with:
James Alastair McLaughlin United Kingdom
Tramy Nguyen United States
Nicholas Roehner United States
Allegra Via United Kingdom
Saulo Aflitos Netherlands
Kiri Choi United States
Curtis Madsen United States
Kimberly Begley United Kingdom
Derek Houghton United Kingdom
Tiago Lubiana Brazil
Zach Zundel relative to James Alastair McLaughlin United Kingdom James Alastair McLaughlin's profile →
Citations per field
00.5×1.5×2.1×
James Alastair McLaughlin · 1×
Citations per year

Countries citing papers authored by Zach Zundel

Since Specialization
Citations

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

Fields of papers citing papers by Zach Zundel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zach Zundel

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 6
2 3
3 2
4 10
5 51
6 3
7 11
8 85
9 26
10 59
11 5
12 13
13 22

About Zach Zundel

Zach Zundel is a scholar working on Information Systems and Management, Molecular Biology and Genetics, having authored 13 papers that have together received 296 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Information Systems and Management (52 citations), Molecular Biology (283 citations) and Biophysics (18 citations). Zach Zundel has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Chris J. Myers, Michael Zhang, Tramy Nguyen, Anil Wipat, Göksel Mısırlı, Nicholas Roehner, James Alastair McLaughlin, Curtis Madsen, Irina Dana Ofiţeru and Ángel Goñi‐Moreno. Their work appears in journals such as Proceedings of the IEEE, Biochemical Society Transactions and ACS Synthetic Biology.

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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