David Haslam

6.8k citations
201 papers · 4.3k · h-index 34

Impact in

    • Escherichia coli research studies
    • Clostridium difficile and Clostridium perfringens research
    • Viral gastroenteritis research and epidemiology

Papers in

David Haslam

179 papers receiving 4.1k citations

Peers

David Haslam
Comparison fields: 5 of 150
  • Endocrinology 435
  • Infectious Diseases 936
  • Molecular Medicine 229
  • Pharmacy 145
  • Immunology 509
Replace Paul H. M. Savelkoul with:
Paul H. M. Savelkoul Netherlands
Lorenza Putignani Italy
Inna Sekirov Canada
Robert P. Dickson United States
Michael W. Konstan United States
Ying Taur United States
Shannon Russell Canada
Birgitta Strandvik Sweden
Lilan Ling United States
Benoît Guéry France
David Haslam relative to Paul H. M. Savelkoul Netherlands Paul H. M. Savelkoul's profile →
Citations per field
00.5×2.6×
Paul H. M. Savelkoul · 1×
Citations per year

Countries citing papers authored by David Haslam

Since Specialization
Citations

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

Fields of papers citing papers by David Haslam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994324
2 2009194
3 2020179
4 2019175
5 2016156
6 2013139
7 2006137
8 2012108
9 2007104
10 2005102
11 200097
12 201888
13 199682
14 201980
15 201576
16 200773
17 200673
18 201670
19 200069
20 202168

About David Haslam

David Haslam is a scholar working on Molecular Biology, Infectious Diseases, Physiology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 201 papers that have together received 4.3k indexed citations. Recurring topics across this work include Gut microbiota and health (22 papers), Diet and metabolism studies (18 papers), Clostridium difficile and Clostridium perfringens research (17 papers), Obesity and Health Practices (10 papers), Pharmacology and Obesity Treatment (10 papers), Bacterial Identification and Susceptibility Testing (9 papers), Diabetes Treatment and Management (8 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Endocrinology (435 citations), Infectious Diseases (936 citations), Molecular Medicine (229 citations), Pharmacy (145 citations) and Immunology (509 citations). David Haslam has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Min Yu, Rana E. El Feghaly, José B. Sáenz, Phillip I. Tarr, Naveed Sattar, Mike Lean, Jennifer L. Stauber, Staffan Normark, Jacques Baenziger and Aleksey Porollo. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Infection and Immunity, Journal of Allergy and Clinical Immunology, Microbiome and British Journal of General Practice.

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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