P.I. Lundmo

22 papers receiving 717 citations

Peers

P.I. Lundmo
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 170
  • Pulmonary and Respiratory Medicine 332
  • Urology 56
  • Cancer Research 94
  • Cell Biology 74
Replace M-H. Tan with:
M-H. Tan Singapore
Y. Nishino Germany
Prachi Bajpai United States
Gerasimos P. Vandoros Greece
Su Jung Oh South Korea
Peter Norman United Kingdom
Ting-Ting Chao Taiwan
Chao-Pei Betty Chang United States
MA Alaoui-Jamali Canada
Sylvie Fauconnet France
P.I. Lundmo relative to M-H. Tan Singapore M-H. Tan's profile →
Citations per field
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M-H. Tan · 1×
Citations per year

Countries citing papers authored by P.I. Lundmo

Since Specialization
Citations

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

Fields of papers citing papers by P.I. Lundmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.I. Lundmo. 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 P.I. Lundmo. The network helps show where P.I. Lundmo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of calcium, pH, and cell proliferation in the programmed (apoptotic) death of androgen-independent prostatic cancer cells induced by thapsigargin.
1994272
2 1992136
3 200476
4 200368
5 199237
6 200628
7 198523
8 198721
9 199118
10 199313
11 199911
12 198510
13 19829
14 19849
15 19838
16 20064
17 19924
18 19853
19 19982
20
Does prophylactic radiotherapy prevent antiandrogen induced gynecomastia? Evaluation of patients in the randomized Scandinavian trial SPCG7/SFUO-3
19991

About P.I. Lundmo

P.I. Lundmo is a scholar working on Endocrinology, Diabetes and Metabolism, Urology, Toxicology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 755 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (9 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Prostate Cancer Treatment and Research (5 papers), Analytical Chemistry and Chromatography (3 papers), Male Breast Health Studies (3 papers), Breast Cancer Treatment Studies (2 papers), Urinary Bladder and Prostate Research (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Pulmonary and Respiratory Medicine (332 citations), Urology (56 citations), Cancer Research (94 citations) and Cell Biology (74 citations). P.I. Lundmo has collaborated with scholars based in Norway, Sweden and Finland. Frequent co-authors include John T. Isaacs, Alison D. Short, Yuzo Furuya, Donald L. Gill, Natasha Kyprianou, Paula Martikainen, R. Berges, Hugh F. English, A. Sunde and Kjell J. Tveter. Their work appears in journals such as Journal of Chromatography A, Urology, Clinical Chemistry, International Journal of Radiation Oncology*Biology*Physics and The Journal of Urology.

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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