Jennifer Pisano

1.8k citations
50 papers · 529 indexed · h-index 13
Topics
Bacterial Identification and Susceptibility Testing (8 papers)Antibiotic Use and Resistance (7 papers)Antifungal resistance and susceptibility (6 papers)
Journals
JAMAJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Jennifer Pisano

44 papers receiving 524 citations

Peers

Jennifer Pisano
Comparison fields: 5 of 78
  • Epidemiology 215
  • Infectious Diseases 202
  • Oncology 99
  • Surgery 91
  • Clinical Biochemistry 75
Replace Emily Godbout with:
Emily Godbout United States
L. Lanthier Canada
Kentaro Iwata Japan
Alma C. van de Pol Netherlands
Geert H. Groeneveld Netherlands
Navjot Kaur India
Kensuke Shoji Japan
Mitsuru Yanai Japan
Whitney R. Buckel United States
Pierre‐Marie Roger France
Jennifer Pisano relative to Emily Godbout United States Emily Godbout's profile →
Citations per field
00.5×4.3×
Emily Godbout · 1×
Citations per year

Countries citing papers authored by Jennifer Pisano

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Pisano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Pisano

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Pisano. A scholar is included among the top collaborators of Jennifer Pisano 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 Jennifer Pisano. Jennifer Pisano 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 0
2 1
3 5
4 1
5 2
6 1
7 0
8 0
9 4
10 1
11 10
12 50
13 4
14 8
15 8
16 18
17 27
18 11
19 42
20 11

About Jennifer Pisano

Jennifer Pisano is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 50 papers that have together received 529 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (8 papers), Antibiotic Use and Resistance (7 papers) and Antifungal resistance and susceptibility (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (70 citations), Clinical Biochemistry (75 citations) and Infectious Diseases (202 citations). Jennifer Pisano has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Natasha N. Pettit, Emily Landon, Jessica P. Ridgway, Aniruddha Hazra, Cynthia T. Nguyen, Joseph J. Pariser, Madan Kumar, Allison H. Bartlett, Kathleen M. Mullane and Kathleen G. Beavis. Their work appears in journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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