Sam Abraham

4.0k citations
125 papers · 2.9k · h-index 34

Impact in

Papers in

Sam Abraham

118 papers receiving 2.9k citations

Peers

Sam Abraham
Comparison fields: 5 of 122
  • Molecular Medicine 970
  • Endocrinology 545
  • Clinical Biochemistry 411
  • Infectious Diseases 834
  • Microbiology 271
Replace Alessia Franco with:
Alessia Franco Italy
Constança Pomba Portugal
Antonio Battisti Italy
Shabbir Simjee United States
Christopher Teale United Kingdom
Suk‐Kyung Lim South Korea
Sandra Reuter Germany
Andreas Petersen Denmark
Miguel Á. Moreno Spain
Sam Abraham relative to Alessia Franco Italy Alessia Franco's profile →
Citations per field
00.5×1.5×1.8×
Alessia Franco · 1×
Citations per year

Countries citing papers authored by Sam Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Sam Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018134
2 1990109
3 201588
4 201780
5 201776
6 201473
7 201971
8 198271
9 201669
10 202364
11 201759
12 201757
13 201555
14 201854
15 201753
16 201653
17 201952
18 202052
19 201550
20 202150

About Sam Abraham

Sam Abraham is a scholar working on Infectious Diseases, Molecular Medicine, Food Science, Clinical Biochemistry and Endocrinology, having authored 125 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (38 papers), Antimicrobial Resistance in Staphylococcus (27 papers), Bacterial Identification and Susceptibility Testing (26 papers), Salmonella and Campylobacter epidemiology (23 papers), Escherichia coli research studies (15 papers), Pharmaceutical and Antibiotic Environmental Impacts (13 papers), Microbial infections and disease research (13 papers) and Viral gastroenteritis research and epidemiology (11 papers). The work is most often cited by research in Molecular Medicine (970 citations), Endocrinology (545 citations), Clinical Biochemistry (411 citations), Infectious Diseases (834 citations) and Microbiology (271 citations). Sam Abraham has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Darren J. Trott, Mark O’Dea, David Jordan, Stanley Pang, Geoffrey W. Coombs, Rebecca Abraham, Terence Lee, Tanya Laird, Sugiyono Saputra and Ihab Habib. Their work appears in journals such as Veterinary Microbiology, International Journal of Food Microbiology, Applied and Environmental Microbiology, PLoS ONE and Scientific Reports.

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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