Nina Cohen

1.2k citations
34 papers · 756 indexed · h-index 12
Topics
Neutropenia and Cancer Infections (10 papers)Antifungal resistance and susceptibility (9 papers)Antimicrobial Resistance in Staphylococcus (4 papers)
Partner nations
United States

In The Last Decade

Nina Cohen

32 papers receiving 746 citations

Peers

Nina Cohen
Comparison fields: 5 of 75
  • Infectious Diseases 316
  • Epidemiology 299
  • Oncology 173
  • Clinical Biochemistry 139
  • Surgery 122
Replace Jessica Lewis with:
Jessica Lewis United States
G. A. Klyasova Russia
M Solbiati Italy
Yoshikiyo Ito Japan
Marcia Browne United States
Haggai Bar‐Yoseph Israel
C Cordonnier France
Ilaria Caviglia Italy
Keval Patel United Kingdom
James R. Commers United States
Nina Cohen relative to Jessica Lewis United States Jessica Lewis's profile →
Citations per field
00.5×3.9×
Jessica Lewis · 1×
Citations per year

Countries citing papers authored by Nina Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Nina Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Cohen. A scholar is included among the top collaborators of Nina Cohen 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 Nina Cohen. Nina Cohen 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 3
2 2
3 0
4 6
5 9
6 2
7 3
8 4
9 8
10 41
11 31
12 11
13 23
14 7
15 107
16
Screening and Prevention of Hepatitis B Virus Reactivation During Chemotherapy.
7
17 31
18 61
19 39
20 18

About Nina Cohen

Nina Cohen is a scholar working on Infectious Diseases, Molecular Medicine and Oncology, having authored 34 papers that have together received 756 indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (10 papers), Antifungal resistance and susceptibility (9 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Clinical Biochemistry (139 citations), Molecular Medicine (92 citations) and Applied Microbiology and Biotechnology (36 citations). Nina Cohen has collaborated with scholars based in United States. Frequent co-authors include Susan K. Seo, Ying Taur, Gil Redelman‐Sidi, Tobias M. Hohl, Tilly Varughese, M. Lia Palomba, Robert J. Obermeyer, Genovefa A. Papanicolaou, Mini Kamboj and Kent A. Sepkowitz. Their work appears in journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy and Clinical Microbiology and Infection.

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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