Nirmala Pathmanathan

1.9k citations
40 papers · 553 indexed · h-index 14

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research

Papers in

Nirmala Pathmanathan

38 papers receiving 538 citations

Peers

Nirmala Pathmanathan
Comparison fields: 5 of 87
  • Cancer Research 273
  • Oncology 245
  • Pathology and Forensic Medicine 152
  • Dermatology 38
  • Radiology, Nuclear Medicine and Imaging 95
Replace Andrew P. Sciallis with:
Andrew P. Sciallis United States
Ciqiu Yang China
M Gerstenhauer Germany
Yoshiaki Sagara Japan
Gennaro Limite Italy
Hong Ling China
Morihiko Kimura Japan
Manfred Klevesath Germany
Alexandre Bodmer Switzerland
Tae-Kyung Yoo South Korea
Nirmala Pathmanathan relative to Andrew P. Sciallis United States Andrew P. Sciallis's profile →
Citations per field
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Andrew P. Sciallis · 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-authorship network

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
#Work
1 20250
2 20250
3 20243
4 20231
5 20233
6 202316
7 202320
8 202213
9 202217
10 202118
11 20211
12 201912
13 20193
14 20187
15 201713
16 20176
17 20155
18 20106
19 20066
20 200510

About Nirmala Pathmanathan

Nirmala Pathmanathan is a scholar working on Cancer Research, Pathology and Forensic Medicine, Theoretical Computer Science, Dermatology and Oncology, having authored 40 papers that have together received 553 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (15 papers), HER2/EGFR in Cancer Research (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer and Skin Lesions (5 papers), AI in cancer detection (5 papers), Cancer Genomics and Diagnostics (4 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Cancer Research (273 citations), Oncology (245 citations), Pathology and Forensic Medicine (152 citations), Dermatology (38 citations) and Radiology, Nuclear Medicine and Imaging (95 citations). Nirmala Pathmanathan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Rosemary L. Balleine, A. Michael Bilous, Pamela Provan, Elizabeth Salisbury, Karen Byth, Elisabeth Elder, Hema Mahajan, J. Dinny Graham, Michael Bilous and Upali W Jayasinghe. Their work appears in journals such as Pathology, Breast Cancer Research and Treatment, The Breast, Modern Pathology and Diagnostic Cytopathology.

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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