Fred Aswad

879 citations
17 papers · 540 · h-index 10

Impact in

  • Physiology top 1%
    • Adenosine and Purinergic Signaling
    • Calcium signaling and nucleotide metabolism
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 4
    • Adenosine and Purinergic Signaling 4
    • Calcium signaling and nucleotide metabolism 2

Fred Aswad

17 papers receiving 533 citations

Peers

Fred Aswad
Comparison fields: 5 of 71
  • Physiology 265
  • Immunology 243
  • Biological Psychiatry 17
  • Speech and Hearing 44
  • Hepatology 41
Replace Nathalie Jänner with:
Nathalie Jänner Germany
Karel P. Alcedo United States
Annalisa Moregola Italy
Heinz‐Günter Thiele Germany
James T. Downs United States
Joseph A. Zundell United States
Sébastien Denanglaire Belgium
A Astaldi Netherlands
Zayda L. Piedra-Quintero Mexico
Katharina Hochheiser Germany
Fred Aswad relative to Nathalie Jänner Germany Nathalie Jänner's profile →
Citations per field
00.5×4.7×
Nathalie Jänner · 1×
Citations per year

Countries citing papers authored by Fred Aswad

Since Specialization
Citations

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

Fields of papers citing papers by Fred Aswad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005163
2 200688
3 200552
4 200648
5 201939
6 200629
7 200628
8 201824
9 201621
10 201620
11 20189
12 20156
13 20244
14 20224
15 20193
16 20241
17 20251

About Fred Aswad

Fred Aswad is a scholar working on Immunology, Physiology, Molecular Biology, Oncology and Epidemiology, having authored 17 papers that have together received 540 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (4 papers), Immune Cell Function and Interaction (4 papers), Hemophilia Treatment and Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Adolescent and Pediatric Healthcare (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Physiology (265 citations), Immunology (243 citations), Biological Psychiatry (17 citations), Speech and Hearing (44 citations) and Hepatology (41 citations). Fred Aswad has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Gunther Dennert, Hiroki Kawamura, Masahiro Minagawa, Sugantha Govindarajan, Pedro Paz, Harvey R. Kaslow, William Schott, Friedrich Koch‐Nolte, Karen E. Malone and Edward H. Leiter. Their work appears in journals such as Cancer Research, The Journal of Immunology, Blood, Frontiers in Molecular Biosciences and Infection and Immunity.

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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