Michael Lamba

50 papers receiving 976 citations

Michael Lamba's Hit Papers

Irradiated Volume as a Predictor of Brain Radionecrosis After Linear Accelerator Stereotactic Radiosurgery 2009 · 408 citations
4080+5+11Years since publication100200300400

Peers

Michael Lamba
Comparison fields: 5 of 64
  • Radiation 299
  • Genetics 211
  • Pulmonary and Respiratory Medicine 593
  • Radiology, Nuclear Medicine and Imaging 198
  • Obstetrics and Gynecology 25
Replace Robert M. Cardinale with:
Robert M. Cardinale United States
Henrik Hauswald Germany
Peter P. Jansen Netherlands
Riccardo Santoni Italy
Simona Marzi Italy
Wietse S.C. Eppinga Netherlands
G. Delpon France
M.C. Dobelbower United States
Avi Eisbruch United States
Haruo Matsushita Japan
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Countries citing papers authored by Michael Lamba

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Irradiated Volume as a Predictor of Brain Radionecrosis After Linear Accelerator Stereotactic Radiosurgery
Hit paper breakdown →
2009408
2 2011180
3 200961
4 200957
5 199824
6 201820
7 199720
8 201615
9 201715
10 201114
11 200813
12 200411
13 201811
14 201211
15 202210
16 19989
17 20029
18 20158
19 20148
20 20048

About Michael Lamba

Michael Lamba is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery, having authored 53 papers that have together received 997 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (25 papers), Radiation Therapy and Dosimetry (15 papers), Radiation Dose and Imaging (10 papers), Medical Imaging Techniques and Applications (9 papers), Management of metastatic bone disease (4 papers), Advanced X-ray and CT Imaging (4 papers), Endometrial and Cervical Cancer Treatments (4 papers) and Brain Metastases and Treatment (4 papers). The work is most often cited by research in Radiation (299 citations), Genetics (211 citations), Pulmonary and Respiratory Medicine (593 citations), Radiology, Nuclear Medicine and Imaging (198 citations) and Obstetrics and Gynecology (25 citations). Michael Lamba has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include John C. Breneman, Ronald E. Warnick, Linda Levin, Howard R. Elson, Humberto Morales, Mark G. Delworth, Lisa Lemen, Sadhna Verma, Jun Ying and Arumugam Rajesh. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Medical dosimetry, Journal of Applied Clinical Medical Physics and Physics in Medicine and Biology.

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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