Parula Mehta

778 citations
11 papers · 654 · h-index 9

Impact in

Papers in

    • Gene expression and cancer classification 2
    • Vascular Tumors and Angiosarcomas 2
    • HER2/EGFR in Cancer Research 2
    • Cancer Treatment and Pharmacology 1

Parula Mehta

10 papers receiving 616 citations

Peers

Parula Mehta
Comparison fields: 5 of 71
  • Oncology 315
  • Immunology and Allergy 48
  • Cancer Research 116
  • Rheumatology 109
  • Oral Surgery 42
Replace Philippe Haas with:
Philippe Haas Switzerland
Heidi Bissig Switzerland
Chuifeng Fan China
A. Jayne Crew United Kingdom
Angela Celetti Italy
Jaime Ferrer-Lozano Spain
Martina Storz Switzerland
J Clark United Kingdom
Yasuyo Ohi Japan
A Pagès France
Parula Mehta relative to Philippe Haas Switzerland Philippe Haas's profile →
Citations per field
00.5×3.5×
Philippe Haas · 1×
Citations per year

Countries citing papers authored by Parula Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Parula Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1991261
2 199376
3 199674
4 199465
5
Immunohistochemical assay of neu/c-erbB-2 oncogene product in paraffin-embedded tissues in early breast cancer: retrospective follow-up study of 245 stage I and II cases.
199153
6 199345
7 199338
8 199224
9 199315
10
Immune electron microscopic characterization of monoclonal antibodies to Alzheimer neurofibrillary tangles.
19923
11
Renal masses - Sonographic evaluation
19970

About Parula Mehta

Parula Mehta is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 11 papers that have together received 654 indexed citations. Recurring topics across this work include Vascular Tumors and Angiosarcomas (2 papers), HER2/EGFR in Cancer Research (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Gene expression and cancer classification (2 papers), Cancer and Skin Lesions (1 paper), Cancer Treatment and Pharmacology (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Oncology (315 citations), Immunology and Allergy (48 citations), Cancer Research (116 citations), Rheumatology (109 citations) and Oral Surgery (42 citations). Parula Mehta has collaborated with scholars based in United States and Denmark. Frequent co-authors include Hector Battifora, Patricia L. Kandalaft, S. Thomas Traweek, José Miguel Esteban López-Jamar, Chul Ahn, Daniel A. Arber, Shahin Sakhi, Steven S. Schreiber, Ning Sun and Karen Chang. Their work appears in journals such as American Journal of Clinical Pathology, Cancer, Human Pathology, Neuroreport and The American Journal of Surgical 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.

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