Traci L. Haddock

542 citations
11 papers · 367 indexed · h-index 6
Topics
Bacterial Genetics and Biotechnology (5 papers)Gene Regulatory Network Analysis (5 papers)Microbial Metabolic Engineering and Bioproduction (5 papers)

In The Last Decade

Traci L. Haddock

11 papers receiving 362 citations

Peers

Traci L. Haddock
Comparison fields: 5 of 73
  • Molecular Biology 280
  • Genetics 93
  • Biomedical Engineering 42
  • Endocrinology 37
  • Ecology 32
Replace Jane M. Liu with:
Jane M. Liu United States
Dmitry Sitnikov United States
Gianmauro Cuccuru Italy
Mohit Yadav India
Valentin Zulkower United Kingdom
Sean C. Sleight United States
David A. Velázquez-Ramírez Mexico
Sofı́a Fraile Spain
Andrew M. Smith United States
Renske van Raaphorst Netherlands
Traci L. Haddock relative to Jane M. Liu United States Jane M. Liu's profile →
Citations per field
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Jane M. Liu · 1×
Citations per year

Countries citing papers authored by Traci L. Haddock

Since Specialization
Citations

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

Fields of papers citing papers by Traci L. Haddock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Traci L. Haddock. 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 Traci L. Haddock. The network helps show where Traci L. Haddock may publish in the future.

Co-authorship network of co-authors of Traci L. Haddock

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 135
3
BBF RFC 94: Type IIS Assembly for Bacterial Transcriptional Units: A Standardized Assembly Method for Building Bacterial Transcriptional Units Using the Type IIS Restriction Enzymes BsaI and BbsI
1
4 3
5 40
6 13
7 18
8 2
9 3
10 71
11 79

About Traci L. Haddock

Traci L. Haddock is a scholar working on Biophysics, Endocrinology and Human-Computer Interaction, having authored 11 papers that have together received 367 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Gene Regulatory Network Analysis (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Endocrinology (37 citations), Molecular Biology (280 citations) and Genetics (93 citations). Traci L. Haddock has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Douglas Densmore, Jacob Beal, Sonya V. Iverson, Evan Appleton, Jenhan Tao, Tyrrell Conway, Paul S. Cohen, Karen A. Krogfelt, Mary P. Leatham and Swapnil Bhatia. Their work appears in journals such as Nature Methods, Infection and Immunity and Frontiers in Microbiology.

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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