T Pasha

899 citations
12 papers · 676 · h-index 11

Impact in

Papers in

T Pasha

11 papers receiving 664 citations

Peers

T Pasha
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 197
  • Oncology 195
  • Cancer Research 65
  • Pulmonary and Respiratory Medicine 137
  • Pathology and Forensic Medicine 74
Replace Susanne V. Allander with:
Susanne V. Allander Sweden
Alessia Caleo Italy
Guo‐Xia Tong United States
Mauro Papotti Italy
Takeshi Kiriyama Japan
Richard J. Dahl United States
Vera Paulson United States
Matteo Trucco United States
Marie A. Herrmann United States
Younghye Kim South Korea
T Pasha relative to Susanne V. Allander Sweden Susanne V. Allander's profile →
Citations per field
00.5×2.8×
Susanne V. Allander · 1×
Citations per year

Countries citing papers authored by T Pasha

Since Specialization
Citations

This map shows the geographic impact of T Pasha'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 T Pasha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Pasha more than expected).

Fields of papers citing papers by T Pasha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Expression of prolactin and prolactin receptor in human breast carcinoma. Evidence for an autocrine/paracrine loop.
1995216
2 2003102
3 200681
4 200369
5 200341
6 200435
7 201031
8 200529
9 200326
10 201125
11 201121
12 20080

About T Pasha

T Pasha is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 12 papers that have together received 676 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (2 papers), Lymphatic System and Diseases (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Connexins and lens biology (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Optical Coherence Tomography Applications (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (197 citations), Oncology (195 citations), Cancer Research (65 citations), Pulmonary and Respiratory Medicine (137 citations) and Pathology and Forensic Medicine (74 citations). T Pasha has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Paul J. Zhang, Virginia A. LiVolsi, Kathleen T. Montone, Winnie Ngo, Charles V. Clevenger, Joseph E. Tomaszewski, Zubair Baloch, Frederic G. Barr, Bruce Pawel and Cyril Fisher. Their work appears in journals such as Modern Pathology, Pathobiology, Journal of Cutaneous Pathology, Archives of Pathology & Laboratory Medicine and Endocrine 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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