Katherine Berman

751 citations
26 papers · 581 · h-index 10

Impact in

Papers in

Katherine Berman

23 papers receiving 556 citations

Peers

Katherine Berman
Comparison fields: 5 of 106
  • Process Chemistry and Technology 48
  • Pulmonary and Respiratory Medicine 247
  • Immunology and Allergy 45
  • Physiology 147
  • Health, Toxicology and Mutagenesis 71
Replace Hideaki Matsuki with:
Hideaki Matsuki Japan
Nancy J. Akley United States
DMG Halpin United Kingdom
Ulrike Bönisch Germany
Berit Bang Norway
Jacqueline A. Pavlik United States
S. Marina Casalino‐Matsuda United States
Cydney Rios United States
Vandy P. Stober United States
Diego Cigna Italy
Katherine Berman relative to Hideaki Matsuki Japan Hideaki Matsuki's profile →
Citations per field
00.5×
Hideaki Matsuki · 1×
Citations per year

Countries citing papers authored by Katherine Berman

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Katherine Berman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Katherine Berman Line = papers co-authored together Katherine Berman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003149
2 2006135
3 200586
4 200641
5 200335
6 200426
7 201526
8 200614
9 200610
10 19719
11 20158
12 20058
13 20236
14 20076
15 19845
16 20214
17 20134
18 20223
19 20172
20 20251

About Katherine Berman

Katherine Berman is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Physiology, Infectious Diseases and Surgery, having authored 26 papers that have together received 581 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Medical Imaging and Pathology Studies (2 papers), Allergic Rhinitis and Sensitization (2 papers), Veterinary Oncology Research (2 papers), Immune Response and Inflammation (2 papers), RNA modifications and cancer (2 papers) and Occupational exposure and asthma (2 papers). The work is most often cited by research in Process Chemistry and Technology (48 citations), Pulmonary and Respiratory Medicine (247 citations), Immunology and Allergy (45 citations), Physiology (147 citations) and Health, Toxicology and Mutagenesis (71 citations). Katherine Berman has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include David A. Schwartz, Gregory S. Whitehead, Julia K. L. Walker, W. Michael Foster, Lauranell H. Burch, Erin McElvania, Jordan D. Savov, Susan S. Schiffman, John S. Sundy and Lawrence R. Landerman. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Immunogenetics, Medical Physics, Human Vaccines & Immunotherapeutics and Radiation Research.

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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