Gerard Tobin

2.8k citations
41 papers · 1.9k · h-index 20

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 34
    • Immunodeficiency and Autoimmune Disorders 20

Gerard Tobin

40 papers receiving 1.9k citations

Peers

Gerard Tobin
Comparison fields: 5 of 76
  • Genetics 1.4k
  • Pathology and Forensic Medicine 908
  • Immunology 868
  • Physiology 79
  • Radiology, Nuclear Medicine and Imaging 342
Replace Bruno Cazin with:
Bruno Cazin France
Guillermo Dighiero Uruguay
H Piguet France
Karin Karlsson Sweden
Rossana Maffei Italy
Anna Guarini Italy
Rémi Letestu France
Masataka Okamoto Japan
David Hakimian United States
María Luz Sánchez Spain
Gerard Tobin relative to Bruno Cazin France Bruno Cazin's profile →
Citations per field
00.5×3.6×
Bruno Cazin · 1×
Citations per year

Countries citing papers authored by Gerard Tobin

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Tobin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002235
2 2003232
3 2007224
4 2008205
5 2004200
6 200590
7 198187
8 200283
9 198576
10 200744
11 200343
12 200536
13 200931
14 200430
15 200329
16 200527
17 200725
18 201123
19
Patients with chronic lymphocytic leukemia with mutated VH genes presenting with Binet stage B or C form a subgroup with a poor outcome.
200522
20 200319

About Gerard Tobin

Gerard Tobin is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (34 papers), Immunodeficiency and Autoimmune Disorders (20 papers), Lymphoma Diagnosis and Treatment (19 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Genetics (1.4k citations), Pathology and Forensic Medicine (908 citations), Immunology (868 citations), Physiology (79 citations) and Radiology, Nuclear Medicine and Imaging (342 citations). Gerard Tobin has collaborated with scholars based in Sweden, Finland and United States. Frequent co-authors include Richard Rosenquist, Ulf Thunberg, Christer Sundström, Ola Söderberg, Göran Roos, Anna Johnson, Gunilla Enblad, Karin Karlsson, Magnus Hultdin and Juhani Vilpo. Their work appears in journals such as Blood, European Journal Of Haematology, The Lancet, Leukemia Research and Leukemia.

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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