William M. Burch

595 total citations
20 papers, 368 citations indexed

About

William M. Burch is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William M. Burch has authored 20 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiation and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William M. Burch's work include Inhalation and Respiratory Drug Delivery (5 papers), Atomic and Subatomic Physics Research (3 papers) and Radiation Therapy and Dosimetry (3 papers). William M. Burch is often cited by papers focused on Inhalation and Respiratory Drug Delivery (5 papers), Atomic and Subatomic Physics Research (3 papers) and Radiation Therapy and Dosimetry (3 papers). William M. Burch collaborates with scholars based in Australia, United Kingdom and India. William M. Burch's co-authors include Paul J. Sullivan, C Orton, H.A.S. van den Brenk, Basil A. Stoll, Tim J. Senden, Graham A. Heath, Chris D. Ling, John Fitz Gerald, Klaus H. Moock and J. L. Gras and has published in prestigious journals such as Nature, Cancer and CHEST Journal.

In The Last Decade

William M. Burch

19 papers receiving 340 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William M. Burch Australia 10 162 144 69 57 55 20 368
N.D. Poe United States 11 89 0.5× 180 1.3× 39 0.6× 23 0.4× 42 0.8× 28 343
Benjamin Harris Australia 12 186 1.1× 208 1.4× 67 1.0× 59 1.0× 60 1.1× 25 445
Antonio C. Brito United States 10 62 0.4× 157 1.1× 30 0.4× 34 0.6× 23 0.4× 17 364
Andreas Leppert Germany 8 258 1.6× 416 2.9× 17 0.2× 58 1.0× 13 0.2× 9 820
Astrid Schmähl Germany 11 286 1.8× 403 2.8× 32 0.5× 227 4.0× 9 0.2× 14 608
Yuji Kishida Japan 13 166 1.0× 311 2.2× 50 0.7× 152 2.7× 7 0.1× 20 381
H L Atkins United States 6 67 0.4× 245 1.7× 7 0.1× 13 0.2× 9 0.2× 11 349
John M Christopher United States 14 111 0.7× 414 2.9× 7 0.1× 96 1.7× 20 0.4× 29 604
D. J. Brenner United States 13 156 1.0× 151 1.0× 10 0.1× 29 0.5× 3 0.1× 29 617
Phillip R. Dawkins United States 10 117 0.7× 170 1.2× 22 0.3× 21 0.4× 68 1.2× 13 843

Countries citing papers authored by William M. Burch

Since Specialization
Citations

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

Fields of papers citing papers by William M. Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Burch. 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 William M. Burch. The network helps show where William M. Burch may publish in the future.

Co-authorship network of co-authors of William M. Burch

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Burch. A scholar is included among the top collaborators of William M. Burch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William M. Burch. William M. Burch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Täubel, Jörg, Georg Ferber, William M. Burch, et al.. (2021). A Phase 1 Study to Investigate the Effects of Cortexolone 17α‐Propionate, Also Known as Clascoterone, on the QT Interval Using the Meal Effect to Demonstrate ECG Assay Sensitivity. Clinical Pharmacology in Drug Development. 10(6). 572–581. 2 indexed citations
2.
Wiebe, Leonard I., William M. Burch, & Douglas N. Abrams. (2010). Review: Technegas - 99mTc-Metal Core Graphite Nanoparticles for Pulmonary Ventilation Imaging. Current Radiopharmaceuticals. 3(1). 49–59. 2 indexed citations
3.
Kwiatek, Monika A., Karen L. Jones, William M. Burch, Michael Horowitz, & F. D.L. Bartholomeusz. (1999). Use of Technegas as a radiopharmaceutical for the measurement of gastric emptying. European Journal of Nuclear Medicine and Molecular Imaging. 26(8). 903–906. 4 indexed citations
4.
Senden, Tim J., Klaus H. Moock, John Fitz Gerald, et al.. (1997). The physical and chemical nature of technegas.. PubMed. 38(8). 1327–33. 53 indexed citations
5.
Burch, William M., et al.. (1994). The observation of fullerenes in a Technegas lung ventilation unit. Nuclear Medicine Communications. 15(6). 430–434???434. 12 indexed citations
6.
Burch, William M.. (1993). Evidence for the long-term biological distribution of Technegas particles. Nuclear Medicine Communications. 14(1). 559–561. 7 indexed citations
7.
Sullivan, Paul J., et al.. (1988). A Clinical Comparison of Technegas and Xenon-133 in 50 Patients with Suspected Pulmonary Embolus. CHEST Journal. 94(2). 300–304. 21 indexed citations
8.
Arnot, R. N., et al.. (1986). Distributions of an ultra-fine 99 Tc m aerosol and 81 Kr m gas in human lungs compared using a gamma camera. Clinical Physics and Physiological Measurement. 7(4). 345–359. 9 indexed citations
9.
Burch, William M., et al.. (1986). Technegas - a new ventilation agent for lung scanning. Nuclear Medicine Communications. 7(12). 865–872. 112 indexed citations
10.
Burch, William M., et al.. (1986). Lung ventilation studies with technetium-99m Pseudogas.. PubMed. 27(6). 842–6. 20 indexed citations
11.
Burch, William M., et al.. (1985). 99Tcm-"pseudogas". An ultrafine monodisperse aerosol for diagnostic studies in the lung.. PubMed. 7(4). 146–9. 7 indexed citations
12.
Burch, William M., et al.. (1984). Technetium-99m 'Pseudogas' for diagnostic studies in the lung. Clinical Physics and Physiological Measurement. 5(2). 79–85. 12 indexed citations
13.
Burch, William M., et al.. (1975). Venous diversion trapping and growth of blood-borne cancer cells en route to the lungs. British Journal of Cancer. 31(1). 46–61. 21 indexed citations
14.
Brenk, H.A.S. van den, et al.. (1973). Stimulation of Clonogenic Growth of Tumour Cells and Metastases in the Lungs by Local X-Radiation. British Journal of Cancer. 27(4). 291–306. 49 indexed citations
15.
Burch, William M. & Peter Bloch. (1971). TWO WAVELENGTH TECHNIQUE FOR THE MEASUREMENT OF BONE MINERAL CONTENT IN VIVO.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
16.
Burch, William M.. (1971). Čerenkov Light from 32P as an Aid to Diagnosis of Eye Tumours. Nature. 234(5328). 358–358. 12 indexed citations
17.
Stoll, Basil A. & William M. Burch. (1968). Surface detection of circadian rhythm in32P content of cancer of the breast. Cancer. 21(2). 193–196. 15 indexed citations
18.
Burch, William M.. (1967). Thermoluminescence: A Simple Clinical Dosimeter. Australasian Radiology. 11(3). 280–285. 3 indexed citations
19.
Burch, William M.. (1967). Thermoluminescence, low radiation dosage and black-body radiation. Physics in Medicine and Biology. 12(4). 523–530. 6 indexed citations
20.
Burch, William M.. (1965). A phototransistor transducer for tidal gravity recording with a heiland gravity meter. Journal of Scientific Instruments. 42(3). 140–143.

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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