DM Geddes

1.9k total citations
45 papers, 1.3k citations indexed

About

DM Geddes is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, DM Geddes has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 8 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in DM Geddes's work include Cystic Fibrosis Research Advances (10 papers), Neonatal Respiratory Health Research (7 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers). DM Geddes is often cited by papers focused on Cystic Fibrosis Research Advances (10 papers), Neonatal Respiratory Health Research (7 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers). DM Geddes collaborates with scholars based in United Kingdom, United States and Australia. DM Geddes's co-authors include Eric W.F.W. Alton, Hiroshi Koyama, Pallav L. Shah, Uta Griesenbach, M. Stern, Stefano Ferrari, D.M. Hansell, Alexander Graham, SG Spiro and C. M. Ash and has published in prestigious journals such as British Journal of Cancer, European Respiratory Journal and Thorax.

In The Last Decade

DM Geddes

42 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
DM Geddes United Kingdom 23 847 358 186 169 162 45 1.3k
Reem Kanaan France 16 484 0.6× 339 0.9× 194 1.0× 105 0.6× 81 0.5× 37 1.2k
Tohru Tsuda Japan 21 470 0.6× 553 1.5× 95 0.5× 187 1.1× 88 0.5× 74 1.5k
Karin M. de Winter‐de Groot Netherlands 19 1.0k 1.2× 589 1.6× 137 0.7× 340 2.0× 201 1.2× 37 1.9k
Alessandro Plebani Italy 22 267 0.3× 269 0.8× 257 1.4× 78 0.5× 291 1.8× 41 1.6k
Naoki Miyazawa Japan 18 274 0.3× 543 1.5× 207 1.1× 221 1.3× 391 2.4× 96 1.5k
Sabine Adler Switzerland 20 854 1.0× 175 0.5× 184 1.0× 62 0.4× 68 0.4× 43 1.6k
Brian J. McHugh United Kingdom 22 734 0.9× 506 1.4× 261 1.4× 127 0.8× 33 0.2× 42 1.9k
Peter Braubach Germany 20 387 0.5× 346 1.0× 111 0.6× 74 0.4× 72 0.4× 73 1.1k
Tomoyuki Umemoto Japan 20 385 0.5× 326 0.9× 112 0.6× 87 0.5× 64 0.4× 83 1.6k
Lara Chalabreysse France 16 432 0.5× 415 1.2× 241 1.3× 104 0.6× 36 0.2× 49 1.6k

Countries citing papers authored by DM Geddes

Since Specialization
Citations

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

Fields of papers citing papers by DM Geddes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DM Geddes

This figure shows the co-authorship network connecting the top 25 collaborators of DM Geddes. A scholar is included among the top collaborators of DM Geddes 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 DM Geddes. DM Geddes 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.
Souhami, R L, Helena Earl, C. M. Ash, et al.. (2015). Prognostic Factors in Patients with Small-Cell Lung Cancer: Preliminary Results from a Large Randomised Study. Antibiotics and chemotherapy/Antibiotica et chemotherapia. 41. 77–82.
2.
Souhami, R L, C. M. Ash, Helena Earl, et al.. (2015). Identification of Patients at High Risk of Chemotherapy-Induced Toxicity in Small-Cell Lung Cancer. Antibiotics and chemotherapy/Antibiotica et chemotherapia. 41. 220–225. 1 indexed citations
3.
Hopkinson, Nicholas S, Samuel V. Kemp, D.M. Hansell, et al.. (2010). Atelectasis and survival after bronchoscopic lung volume reduction for COPD. European Respiratory Journal. 37(6). 1346–1351. 93 indexed citations
4.
Davies, Jane C., et al.. (2007). Computed tomography and cystic fibrosis: promises and problems. Thorax. 62(2). 181–186. 22 indexed citations
5.
Xenariou, Stefania, Uta Griesenbach, Haidong Liang, et al.. (2007). Use of ultrasound to enhance nonviral lung gene transfer in vivo. Gene Therapy. 14(9). 768–774. 52 indexed citations
6.
Xenariou, Stefania, Uta Griesenbach, Stefano Ferrari, et al.. (2006). Using magnetic forces to enhance non-viral gene transfer to airway epithelium in vivo. Gene Therapy. 13(21). 1545–1552. 68 indexed citations
7.
Ulrich, K., M. Stern, Michael E. Goddard, et al.. (2005). Keratinocyte growth factor therapy in murine oleic acid-induced acute lung injury. American Journal of Physiology-Lung Cellular and Molecular Physiology. 288(6). L1179–L1192. 50 indexed citations
8.
Ferrari, Stefano, Chris Kitson, R Farley, et al.. (2001). Mucus altering agents as adjuncts for nonviral gene transfer to airway epithelium. Gene Therapy. 8(18). 1380–1386. 101 indexed citations
9.
Stern, M., K. Ulrich, Jack G. Copeland, et al.. (2000). Pretreatment with cationic lipid-mediated transfer of the Na+K+-ATPase pump in a mouse model in vivo augments resolution of high permeability pulmonary oedema. Gene Therapy. 7(11). 960–966. 42 indexed citations
10.
Stern, M., Natasha J. Caplen, Uta Griesenbach, et al.. (1998). The effect of mucolytic agents on gene transfer across a CF sputum barrier in vitro. Gene Therapy. 5(1). 91–98. 92 indexed citations
11.
Habib, Shahid, Denis H. Carr, Judith Partridge, et al.. (1998). Recurrence of recipient Langerhans' cell histiocytosis following bilateral lung transplantation. Thorax. 53(4). 323–325. 33 indexed citations
12.
Shah, Pallav L., DM Geddes, Richard Conway, et al.. (1997). An evaluation of two aerosol delivery systems for rhDNase. European Respiratory Journal. 10(6). 1261–1266. 26 indexed citations
13.
Shah, Pallav L., Sandra Scott, DM Geddes, & Mark E. Hodson. (1995). Two years experience with recombinant Human DNase I in the treatment of pulmonary disease in cystic fibrosis. Respiratory Medicine. 89(7). 499–502. 54 indexed citations
14.
Corrin, B, et al.. (1995). Fatal haemorrhage from mesenchymal cystic hamartoma of the lung. European Respiratory Journal. 8(12). 2182–2184. 16 indexed citations
15.
Alton, Eric W.F.W., Natasha J. Caplen, DM Geddes, & R. Williamson. (1992). New treatments for cystic fibrosis. British Medical Bulletin. 48(4). 785–804. 8 indexed citations
16.
Earl, Helena, R.M. Rudd, SG Spiro, et al.. (1991). A randomised trial of planned versus as required chemotherapy in small cell lung cancer: a Cancer Research Campaign trial. British Journal of Cancer. 64(3). 566–572. 39 indexed citations
17.
Twelves, C.J., R L Souhami, PG Harper, et al.. (1990). The response of cerebral metastases in small cell lung cancer to systemic chemotherapy. British Journal of Cancer. 61(1). 147–150. 67 indexed citations
18.
Goldman, JM, et al.. (1989). Spinal cord compression in small cell lung cancer: a retrospective study of 610 patients. British Journal of Cancer. 59(4). 591–593. 10 indexed citations
19.
Earl, Helena, R L Souhami, C. M. Ash, et al.. (1989). Patients at risk of chemotherapy-associated toxicity in small cell lung cancer. British Journal of Cancer. 59(5). 801–804. 39 indexed citations
20.
Daggett, P & DM Geddes. (1976). Practical medicine : a guide to out-patient management.

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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