Jacqueline Bork

639 citations
35 papers · 443 indexed · h-index 11
Topics
Bacterial Identification and Susceptibility Testing (14 papers)Antibiotic Use and Resistance (13 papers)Antimicrobial Resistance in Staphylococcus (6 papers)
Journals
SHILAP Revista de lepidopterologíaClinical Infectious DiseasesAntimicrobial Agents and Chemotherapy
Partner nations
United StatesNigeria

In The Last Decade

Jacqueline Bork

31 papers receiving 438 citations

Peers

Jacqueline Bork
Comparison fields: 5 of 69
  • Clinical Biochemistry 155
  • Applied Microbiology and Biotechnology 135
  • Epidemiology 129
  • Infectious Diseases 128
  • Pharmacology 106
Replace Edward L. Goodman with:
Edward L. Goodman United States
Rosemary Zvonar Canada
Jonas Bredtoft Boel Denmark
Najoua El Helali France
Christian Lanckohr Germany
Gary R. Kravitz United States
Ana Coloma Spain
Christine E. MacBrayne United States
Joseph Kohn United States
Philip W. Lam Canada
Jacqueline Bork relative to Edward L. Goodman United States Edward L. Goodman's profile →
Citations per field
00.5×6.4×
Edward L. Goodman · 1×
Citations per year

Countries citing papers authored by Jacqueline Bork

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Bork

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Bork

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Bork. A scholar is included among the top collaborators of Jacqueline Bork 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 Jacqueline Bork. Jacqueline Bork 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
#WorkIndexed citations
1 1
2 0
3 2
4 1
5 1
6 10
7 16
8 11
9 4
10 7
11 5
12 20
13 6
14 31
15 1
16 81
17 3
18 68
19 7
20 15

About Jacqueline Bork

Jacqueline Bork is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 35 papers that have together received 443 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (14 papers), Antibiotic Use and Resistance (13 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (135 citations), Clinical Biochemistry (155 citations) and Molecular Medicine (69 citations). Jacqueline Bork has collaborated with scholars based in United States and Nigeria. Frequent co-authors include Emily L. Heil, Bruce L. Gilliam, Surbhi Leekha, Anthony Amoroso, J. Kristie Johnson, Kimberly C. Claeys, Licheng Zhao, Michael Kleinberg, Ulrike K. Buchwald and David J. Riedel. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.

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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