Daniel J. Morton

1.5k citations
51 papers · 1.3k indexed · h-index 24

Impact in

  • Microbiology top 0.5%
    • Bacterial Infections and Vaccines
    • Microbial infections and disease research
    • Antibiotic Resistance in Bacteria

Papers in

Daniel J. Morton

50 papers receiving 1.3k citations

Peers

Daniel J. Morton
Comparison fields: 5 of 87
  • Microbiology 628
  • Molecular Medicine 108
  • Endocrinology 99
  • Otorhinolaryngology 63
  • Hematology 144
Replace Jo L. Latimer with:
Jo L. Latimer United States
Margaret R. Ketterer United States
Rachel M. Exley United Kingdom
Jutta M. Loeffler United States
Beth Baker United States
Allison F. Gillaspy United States
Kevin M. Mason United States
Ben R. Otto Netherlands
Cynthia Nau Cornelissen United States
Leticia Zarantonelli France
Daniel J. Morton relative to Jo L. Latimer United States Jo L. Latimer's profile →
Citations per field
00.5×6.3×
Jo L. Latimer · 1×
Citations per year

Countries citing papers authored by Daniel J. Morton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Morton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Morton. 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 Daniel J. Morton. The network helps show where Daniel J. Morton may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20239
4 201320
5 201222
6 20121
7 201128
8 201016
9 200919
10 200944
11 20089
12 200721
13 200614
14 200617
15 200546
16 20056
17 200347
18 199841
19 199073
20 199034

About Daniel J. Morton

Daniel J. Morton is a scholar working on Microbiology, Otorhinolaryngology, Molecular Medicine, Endocrine and Autonomic Systems and Cell Biology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (25 papers), RNA and protein synthesis mechanisms (15 papers), Hemoglobin structure and function (12 papers), Pneumonia and Respiratory Infections (11 papers), Bacterial Genetics and Biotechnology (8 papers), Iron Metabolism and Disorders (5 papers), Neuroscience of respiration and sleep (5 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Microbiology (628 citations), Molecular Medicine (108 citations), Endocrinology (99 citations), Otorhinolaryngology (63 citations) and Hematology (144 citations). Daniel J. Morton has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Terrence L. Stull, Paul W. Whitby, Thomas W. Seale, Paul Williams, Timothy M. VanWagoner, Zhen Ren, T L Stull, Ann Smith, Lauren O. Bakaletz and Joseph A. Jurcisek. Their work appears in journals such as Infection and Immunity, Microbiology, Journal of Bacteriology, Journal of Medical Microbiology and BMC Microbiology.

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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