J. Tillner

1.9k citations
29 papers · 880 indexed · h-index 14

Impact in

Papers in

J. Tillner

29 papers receiving 857 citations

Peers

J. Tillner
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 268
  • Oncology 423
  • Pulmonary and Respiratory Medicine 272
  • Pharmacology 94
  • Radiology, Nuclear Medicine and Imaging 103
Replace Sabina Cuccato with:
Sabina Cuccato Italy
R. Yoshiyuki Osamura Japan
Mona El-Hashimy United States
Manuela Albertelli Italy
Andrzej Wojnar Poland
Šime Spaventi Croatia
Sang Jae Noh South Korea
G Bertoli Italy
Takehiko Murakami Japan
Laila Siam Germany
J. Tillner relative to Sabina Cuccato Italy Sabina Cuccato's profile →
Citations per field
00.5×7.6×
Sabina Cuccato · 1×
Citations per year

Countries citing papers authored by J. Tillner

Since Specialization
Citations

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

Fields of papers citing papers by J. Tillner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003221
2 2018135
3 200683
4 200679
5 201476
6 202034
7 200433
8 202125
9 202322
10 200219
11 202116
12 200414
13 200414
14 200514
15 200411
16 20059
17 20158
18 20208
19 20058
20 20058

About J. Tillner

J. Tillner is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 880 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Diabetes Treatment and Management (9 papers), Lung Cancer Treatments and Mutations (8 papers), Colorectal Cancer Treatments and Studies (7 papers), Pancreatic function and diabetes (4 papers), Cancer Treatment and Pharmacology (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (268 citations), Oncology (423 citations), Pulmonary and Respiratory Medicine (272 citations), Pharmacology (94 citations) and Radiology, Nuclear Medicine and Imaging (103 citations). J. Tillner has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Federico Rojo, Dirk Weber, Lenore Teichert, Tanja Trarbach, N. Schleucher, U. Vanhoefer, José Baselga, Mitra Tewes, S. Seeber and Ada Braun. Their work appears in journals such as Journal of Clinical Oncology, Diabetes Obesity and Metabolism, Journal of Nuclear Medicine, Obesity and Scientific Reports.

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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