Susan Bohm

2.3k citations
14 papers · 683 · h-index 10

Impact in

Papers in

    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 5
    • Viral gastroenteritis research and epidemiology 2

Susan Bohm

13 papers receiving 654 citations

Peers

Susan Bohm
Comparison fields: 5 of 100
  • Soil Science 127
  • Endocrinology 64
  • Modeling and Simulation 50
  • Hepatology 61
  • Infectious Diseases 137
Replace Paul Hasselback with:
Paul Hasselback Canada
Wendong Liu China
S. A. Ansari India
Irina Cech United States
Muhammad Islam Pakistan
David Bogumil United States
Paul Van Buynder Australia
Friederike Dangendorf Germany
Gexin Xiao China
Atikur Rahman Bangladesh
Susan Bohm relative to Paul Hasselback Canada Paul Hasselback's profile →
Citations per field
00.5×10×12.5×
Paul Hasselback · 1×
Citations per year

Countries citing papers authored by Susan Bohm

Since Specialization
Citations

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

Fields of papers citing papers by Susan Bohm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Susan Bohm, 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 Susan Bohm Line = papers co-authored together Susan Bohm links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
The determination of soil C pool sizes and turnover rates: Biophysical fractionation and tracers
2001145
2 2017119
3 201894
4 201372
5 200656
6 201552
7 201647
8 201035
9 199535
10 201124
11 20182
12 20171
13 20251
14 20170

About Susan Bohm

Susan Bohm is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Physiology and Endocrinology, having authored 14 papers that have together received 683 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (5 papers), COVID-19 epidemiological studies (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Infection Control and Ventilation (1 paper), Smoking Behavior and Cessation (1 paper), Microbial bioremediation and biosurfactants (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Soil Science (127 citations), Endocrinology (64 citations), Modeling and Simulation (50 citations), Hepatology (61 citations) and Infectious Diseases (137 citations). Susan Bohm has collaborated with scholars based in United States, Germany and Kenya. Frequent co-authors include E. A. Paul, Sherri J. Morris, Mathew J. Reeves, Michael D. Brown, Steven J. Korzeniewski, Lisa A. Miller, Mary Lou Lindegren, Evan J. Anderson, Sandra S. Chaves and Shelley M. Zansky. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Journal of Food Protection, Open Forum Infectious Diseases, Clinical Infectious Diseases and Chemosphere.

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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