Tom Aschman

2.9k citations
7 papers · 193 · h-index 6

Impact in

Papers in

    • COVID-19 Clinical Research Studies 2
    • Long-Term Effects of COVID-19 1
    • Autoimmune Neurological Disorders and Treatments 1

Tom Aschman

7 papers receiving 190 citations

Peers

Tom Aschman
Comparison fields: 5 of 38
  • Neurology 125
  • Critical Care and Intensive Care Medicine 12
  • Infectious Diseases 40
  • Biological Psychiatry 5
  • Neurology 16
Replace Jenny Meinhardt with:
Jenny Meinhardt Germany
Seyyid Baloglu France
Hans-Hilmar Goebel Germany
Ellen G. Shaver United States
Nasrin Rahimian Iran
Tamara Kaplan United States
Dustin Anderson Canada
Charles McFadyen United Kingdom
Rosa Angélica Barbella-Aponte Spain
Mayra Montalvo United States
Tom Aschman relative to Jenny Meinhardt Germany Jenny Meinhardt's profile →
Citations per field
00.5×1.7×
Jenny Meinhardt · 1×
Citations per year

Countries citing papers authored by Tom Aschman

Since Specialization
Citations

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

Fields of papers citing papers by Tom Aschman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202198
2 202249
3 202223
4 20219
5 20227
6 20216
7 20191

About Tom Aschman

Tom Aschman is a scholar working on Infectious Diseases, Neurology, Epidemiology, Rehabilitation and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 193 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Long-Term Effects of COVID-19 (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Stroke Rehabilitation and Recovery (1 paper), Immune Cell Function and Interaction (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Neurology (125 citations), Critical Care and Intensive Care Medicine (12 citations), Infectious Diseases (40 citations), Biological Psychiatry (5 citations) and Neurology (16 citations). Tom Aschman has collaborated with scholars based in Germany. Frequent co-authors include Helena Radbruch, Frank L. Heppner, Christian Meisel, Franziska Scheibe, Werner Stenzel, Julia Schneider, Sefer Elezkurtaj, Jenny Meinhardt, Simon Streit and Victor M. Corman. Their work appears in journals such as Immunity, International Journal of Infectious Diseases, JAMA Neurology, Current Opinion in Neurology and International Journal of Molecular Sciences.

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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