Joan Abbott

1.4k citations
31 papers · 1.3k · h-index 20

Impact in

  • Biophysics top 2%
    • Electromagnetic Fields and Biological Effects
  • Physiology top 5%
    • Biochemical effects in animals

Papers in

Joan Abbott

31 papers receiving 1.1k citations

Peers

Joan Abbott
Comparison fields: 5 of 123
  • Biophysics 182
  • Physiology 73
  • Rheumatology 181
  • Immunology and Allergy 68
  • Cell Biology 177
Replace Renata Battini with:
Renata Battini Italy
Christof Haffner Germany
Ira Schieren United States
Anne Bushnell United States
Bernard Pessac France
Stefan G. E. Roberts United Kingdom
Vasken Ohanian United Kingdom
N.V. Tomilin Russia
Claude Tougard France
Takeo Aoki Japan
Joan Abbott relative to Renata Battini Italy Renata Battini's profile →
Citations per field
00.5×6.7×
Renata Battini · 1×
Citations per year

Countries citing papers authored by Joan Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Joan Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966201
2 1998125
3 200085
4 199276
5 196873
6
The ontogeny of murine B lymphocytes. I. Induction of phenotypic conversion of Ia-to Ia+ lymphocytes.
197571
7 197070
8 199962
9 198761
10 197259
11 195946
12 199645
13 197544
14 195839
15 197334
16 200333
17 199722
18 198521
19 197920
20 197119

About Joan Abbott

Joan Abbott is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Molecular Biology and Rheumatology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Immune Cell Function and Interaction (4 papers), Cell Adhesion Molecules Research (4 papers), Electromagnetic Fields and Biological Effects (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Biophysics (182 citations), Physiology (73 citations), Rheumatology (181 citations), Immunology and Allergy (68 citations) and Cell Biology (177 citations). Joan Abbott has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Howard Holtzer, Ulrich Hämmerling, Richard Mayne, Margrit P. Scheid, Douglas C. Fredericks, James V. Nepola, Reba Goodman, A.S. Henderson, Richard A. Bernstein and Harry R. Gossling. Their work appears in journals such as European Journal of Immunology, The Journal of Physiology, Experimental Cell Research, Cellular Immunology and Journal of Pediatric Orthopaedics.

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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