Todd S. Weiser

1.4k citations
15 papers · 974 · h-index 15

Impact in

Papers in

Todd S. Weiser

15 papers receiving 958 citations

Peers

Todd S. Weiser
Comparison fields: 5 of 80
  • Microbiology 13
  • Pulmonary and Respiratory Medicine 553
  • Anesthesiology and Pain Medicine 68
  • Oncology 181
  • Genetics 56
Replace Andreas Kirschbaum with:
Andreas Kirschbaum Germany
Takashi Nishisaka Japan
Tsutomu Tagawa Japan
Ludger Hillejan Germany
Toshiteru Nagashima Japan
K Suemasu Japan
Christian Casali Italy
Eisuke Matsui Japan
Yoshikane Yamauchi Japan
B. Bouchindhomme France
Todd S. Weiser relative to Andreas Kirschbaum Germany Andreas Kirschbaum's profile →
Citations per field
00.5×1.6×
Andreas Kirschbaum · 1×
Citations per year

Countries citing papers authored by Todd S. Weiser

Since Specialization
Citations

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

Fields of papers citing papers by Todd S. Weiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd S. Weiser. 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 Todd S. Weiser. The network helps show where Todd S. Weiser may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010152
2 2001142
3 2009115
4 200894
5 200879
6 200170
7
Antisense to SV40 early gene region induces growth arrest and apoptosis in T-antigen-positive human pleural mesothelioma cells.
199963
8 200847
9 200546
10 201241
11 201034
12 200027
13 201225
14 200225
15 201214

About Todd S. Weiser

Todd S. Weiser is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 974 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (4 papers), Tracheal and airway disorders (3 papers), Pleural and Pulmonary Diseases (2 papers), Foreign Body Medical Cases (2 papers), Lung Cancer Research Studies (2 papers), Immune Cell Function and Interaction (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Microbiology (13 citations), Pulmonary and Respiratory Medicine (553 citations), Anesthesiology and Pain Medicine (68 citations), Oncology (181 citations) and Genetics (56 citations). Todd S. Weiser has collaborated with scholars based in United States, Poland and India. Frequent co-authors include Steven Swanson, Cynthia Chin, Juan P. Wisnivesky, Mark Shapiro, David S. Schrump, Virginia R. Litle, Jaime Yun, Zong Sheng Guo, Dao Nguyen and Maria R. Fischette. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Surgery, European Journal of Surgical Oncology and Oncogene.

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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