Tim Underwood

20.3k citations
94 papers · 2.1k · h-index 24

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Analytical Chemistry and Chromatography

Papers in

Tim Underwood

84 papers receiving 2.1k citations

Peers

Tim Underwood
Comparison fields: 5 of 117
  • Oncology 518
  • Spectroscopy 320
  • Hepatology 124
  • Cancer Research 212
  • Surgery 586
Replace C. Sturgeon with:
C. Sturgeon United Kingdom
Jörg Nährig Germany
Sinchita Roy‐Chowdhuri United States
R. C. Knapp United States
Andrea Mafficini Italy
Masaki Tomita Japan
Paolo Cossu‐Rocca Italy
Jeffrey C. Hanson United States
Naoki Muguruma Japan
Rita T. Lawlor Italy
Tim Underwood relative to C. Sturgeon United Kingdom C. Sturgeon's profile →
Citations per field
00.5×7.1×
C. Sturgeon · 1×
Citations per year

Countries citing papers authored by Tim Underwood

Since Specialization
Citations

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

Fields of papers citing papers by Tim Underwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995220
2 2017151
3 2015148
4 2014146
5 2017124
6 201085
7 201683
8 201272
9 200971
10 199567
11 201464
12 201261
13 202146
14 199542
15 200542
16 201340
17 201340
18 201139
19 201036
20 201534

About Tim Underwood

Tim Underwood is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Biomedical Engineering, having authored 94 papers that have together received 2.1k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (43 papers), Gastric Cancer Management and Outcomes (22 papers), Esophageal and GI Pathology (10 papers), Cancer Cells and Metastasis (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). The work is most often cited by research in Oncology (518 citations), Spectroscopy (320 citations), Hepatology (124 citations), Cancer Research (212 citations) and Surgery (586 citations). Tim Underwood has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Robert J. Boughtflower, Fergus Noble, Clare J. Paterson, Jamie Kelly, James Byrne, Gareth J. Thomas, Ian Bailey, Massimiliano Mellone, Mohammad Abu Hilal and Marc D. Bullock. Their work appears in journals such as British journal of surgery, European Journal of Surgical Oncology, Diseases of the Esophagus, Annals of Surgery and Cancers.

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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