Nirmala Pathmanathan

2.1k citations
41 papers · 573 · h-index 14

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

    • Breast Cancer Treatment Studies 13
    • Cancer Genomics and Diagnostics 4
    • HER2/EGFR in Cancer Research 8

Nirmala Pathmanathan

40 papers receiving 558 citations

Peers

Nirmala Pathmanathan
Comparison fields: 5 of 79
  • Cancer Research 204
  • Oncology 174
  • Pathology and Forensic Medicine 97
  • Radiology, Nuclear Medicine and Imaging 65
  • Health Informatics 4
Replace Andrew Hanby with:
Andrew Hanby United Kingdom
Milim Kim South Korea
Karen McAdam United Kingdom
Marion E. Scoggins United States
Terumasa Sawada Japan
Valentina Magri Italy
Ruohong Shui China
Anne Marie Bak Jylling Denmark
Merdol Ibrahim United Kingdom
Antonia Márquez Spain
Nirmala Pathmanathan relative to Andrew Hanby United Kingdom Andrew Hanby's profile →
Citations per field
00.5×4.5×
Andrew Hanby · 1×
Citations per year

Countries citing papers authored by Nirmala Pathmanathan

Since Specialization
Citations

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

Fields of papers citing papers by Nirmala Pathmanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013171
2 201443
3 202326
4 201222
5 201621
6 201620
7 201020
8 202119
9 201218
10 202217
11 202316
12 202214
13 201414
14 201713
15 201913
16 202412
17 200510
18 20169
19 20159
20 20189

About Nirmala Pathmanathan

Nirmala Pathmanathan is a scholar working on Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Molecular Biology, having authored 41 papers that have together received 573 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (13 papers), HER2/EGFR in Cancer Research (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Breast Lesions and Carcinomas (6 papers), Cancer Genomics and Diagnostics (4 papers), AI in cancer detection (3 papers), Electronic Health Records Systems (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cancer Research (204 citations), Oncology (174 citations), Pathology and Forensic Medicine (97 citations), Radiology, Nuclear Medicine and Imaging (65 citations) and Health Informatics (4 citations). Nirmala Pathmanathan has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Rosemary L. Balleine, A. Michael Bilous, Pamela Provan, Elizabeth Salisbury, Karen Byth, Elisabeth Elder, J. Dinny Graham, Hema Mahajan, Michael Bilous and John Boyages. Their work appears in journals such as Pathology, Breast Cancer Research and Treatment, Modern Pathology, The Breast and Journal of Clinical Pathology.

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.

Explore authors with similar magnitude of impact