A Tobler

3.0k citations
70 papers · 2.3k · h-index 26

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • RNA modifications and cancer 6
    • Acute Myeloid Leukemia Research 15
    • Chronic Myeloid Leukemia Treatments 8

A Tobler

70 papers receiving 2.3k citations

Peers

A Tobler
Comparison fields: 5 of 119
  • Hematology 550
  • Genetics 394
  • Oncology 806
  • Pathology and Forensic Medicine 370
  • Immunology 420
Replace Tsuyoshi Nakamaki with:
Tsuyoshi Nakamaki Japan
Yoshihiro Hatta Japan
Edgar Jost Germany
Terri L. Towers United States
Gerwin Huls Netherlands
Sonia Fabris Italy
Manuel Aivado United States
Eugenio Gallo Italy
Jan Jacob Schuringa Netherlands
Mizuko Mamura Japan
A Tobler relative to Tsuyoshi Nakamaki Japan Tsuyoshi Nakamaki's profile →
Citations per field
00.5×1.5×
Tsuyoshi Nakamaki · 1×
Citations per year

Countries citing papers authored by A Tobler

Since Specialization
Citations

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

Fields of papers citing papers by A Tobler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001293
2 1995129
3 1994111
4 1995106
5 1988103
6 199489
7 198788
8 200085
9 199284
10 199465
11 199365
12 199462
13 198656
14 199455
15 198847
16 200342
17 200542
18 200237
19
Distinct expression patterns of the p53-homologue p73 in malignant and normal hematopoiesis assessed by a novel real-time reverse transcription-polymerase chain reaction assay and protein analysis.
199937
20 200835

About A Tobler

A Tobler is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Genetics, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Cancer-related Molecular Pathways (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Immune Response and Inflammation (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Hematology (550 citations), Genetics (394 citations), Oncology (806 citations), Pathology and Forensic Medicine (370 citations) and Immunology (420 citations). A Tobler has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Martin F. Fey, H. Phillip Koeffler, Judith C. Gasson, M.F. Fey, J Schwaller, H Studer, Anthony W. Norman, Tobias Grob, Pius Loetscher and Barbara Hügli. Their work appears in journals such as Annals of Oncology, Blood, Leukemia, Journal of Clinical Investigation and Annals of Hematology.

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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