Thomas Emm

1.0k citations
16 papers · 718 · h-index 11

Impact in

  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments

Papers in

Thomas Emm

16 papers receiving 695 citations

Peers

Thomas Emm
Comparison fields: 5 of 82
  • Genetics 237
  • Hematology 176
  • Rheumatology 157
  • Pharmacology 58
  • Oncology 131
Replace Charles R.J. Singer with:
Charles R.J. Singer United Kingdom
Angela Lau Canada
J. Vergniol France
Amina Haouala Switzerland
Melanie Beaton Canada
Matthew Hruska United States
Scott Fettner United States
Michael Straßer Austria
Bindu Murthy United States
Melinda J. Reese United States
Thomas Emm relative to Charles R.J. Singer United Kingdom Charles R.J. Singer's profile →
Citations per field
00.5×6.4×
Charles R.J. Singer · 1×
Citations per year

Countries citing papers authored by Thomas Emm

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Emm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2014170
2 2011127
3 201091
4 201190
5 198766
6 200134
7 199632
8 198830
9 201327
10 201125
11
Update on the physical-chemical compatibility of cromolyn sodium nebulizer solution: bronchodilator inhalant solution admixtures.
199110
12 19874
13 19974
14 19884
15 19943
16 19961

About Thomas Emm

Thomas Emm is a scholar working on Genetics, Molecular Biology, Hematology, Cellular and Molecular Neuroscience and Animal Science and Zoology, having authored 16 papers that have together received 718 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Pharmacological Effects and Assays (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Epilepsy research and treatment (2 papers), Analytical Methods in Pharmaceuticals (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Genetics (237 citations), Hematology (176 citations), Rheumatology (157 citations), Pharmacology (58 citations) and Oncology (131 citations). Thomas Emm has collaborated with scholars based in United States. Frequent co-authors include Swamy Yeleswaram, Naresh Punwani, William V. Williams, Xuejun Chen, Jack Shi, Peggy Scherle, Yvonne Lo, Ryan McGee, Fiona Lee and Steven T. Wu. Their work appears in journals such as The Journal of Clinical Pharmacology, Drug Metabolism and Disposition, Biomedical Chromatography, Antimicrobial Agents and Chemotherapy and Journal of Pharmaceutical and Biomedical Analysis.

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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