T. Ghose

1.5k citations
55 papers · 1.1k · h-index 20

Impact in

Papers in

T. Ghose

53 papers receiving 982 citations

Peers

T. Ghose
Comparison fields: 5 of 82
  • Radiology, Nuclear Medicine and Imaging 493
  • Immunology 303
  • Genetics 122
  • Oncology 274
  • Hematology 79
Replace Vic Raso with:
Vic Raso United States
Alicia V. Palleroni United States
Irving L. Spar United States
J Cossman United States
Kine Marita Knudsen Sand Norway
Takanori Kawaguchi Japan
L.F. O'Grady United States
G.T. Rogers United Kingdom
Takayuki Yoshioka Japan
Frank Hensel Germany
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Citations per field
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Citations per year

Countries citing papers authored by T. Ghose

Since Specialization
Citations

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

Fields of papers citing papers by T. Ghose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1960125
2 1972114
3 197491
4 197283
5 196742
6
The design of cytotoxic-agent-antibody conjugates.
198739
7 197437
8 197432
9
Role of 1q trisomy in tumorigenicity, growth, and metastasis of human leukemic B-cell clones in nude mice.
199031
10 197528
11 199127
12 198926
13 197526
14 197525
15 197725
16
Radionuclide imaging of primary renal-cell carcinoma by I-131-labeled antitumor antibody.
197823
17 199021
18
Tumor and tissue distribution of a methotrexate-anti-EL4 immunoglobulin conjugate in EL4 lymphoma-bearing mice.
198420
19 198919
20 198319

About T. Ghose

T. Ghose is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Genetics, Pathology and Forensic Medicine and Molecular Biology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (22 papers), Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (9 papers), Immunotherapy and Immune Responses (9 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Medical Imaging and Pathology Studies (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (493 citations), Immunology (303 citations), Genetics (122 citations), Oncology (274 citations) and Hematology (79 citations). T. Ghose has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include A. Guclu, A. H. Blair, S. T. Norvell, A. S. Macdonald, J. Tai, Shubhanchi Nigam, M.R.C. Path, A. Bodurtha, Ronan P. Killeen and Donald P. Cameron. Their work appears in journals such as Cancer Immunology Immunotherapy, Cancer Letters, JNCI Journal of the National Cancer Institute, Cancer and Clinical & Experimental Allergy.

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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