V Hird

1.5k citations
19 papers · 1.1k · h-index 16

Impact in

Papers in

V Hird

19 papers receiving 991 citations

Peers

V Hird
Comparison fields: 5 of 76
  • Radiology, Nuclear Medicine and Imaging 614
  • Reproductive Medicine 188
  • Immunology 193
  • Obstetrics and Gynecology 62
  • Oncology 215
Replace D Snook with:
D Snook United Kingdom
G. Hooker United Kingdom
M. Granowska United Kingdom
J Schlom United States
Debra B. Novotny United States
Anton Scharl Germany
S.H. Goey Netherlands
A. A. Epenetos United Kingdom
Tanja Schneider‐Merck Germany
H Lambert United Kingdom
V Hird relative to D Snook United Kingdom D Snook's profile →
Citations per field
00.5×4.4×
D Snook · 1×
Citations per year

Countries citing papers authored by V Hird

Since Specialization
Citations

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

Fields of papers citing papers by V Hird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1993140
2 1990109
3 1990100
4 198997
5 199081
6 200080
7 199870
8 200959
9
Intraperitoneal 131I- and 90Y-labelled monoclonal antibodies for ovarian cancer: pharmacokinetics and normal tissue dosimetry.
198858
10 198851
11 198945
12 199444
13 201141
14 199135
15 201217
16
Clearance of 131I-labeled murine monoclonal antibody from patients' blood by intravenous human anti-murine immunoglobulin antibody.
199016
17 198913
18 199410
19 19906

About V Hird

V Hird is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine, Epidemiology, Molecular Biology and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Neuroendocrine Tumor Research Advances (5 papers), Endometrial and Cervical Cancer Treatments (2 papers), Lymphoma Diagnosis and Treatment (2 papers), HER2/EGFR in Cancer Research (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (614 citations), Reproductive Medicine (188 citations), Immunology (193 citations), Obstetrics and Gynecology (62 citations) and Oncology (215 citations). V Hird has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include M.H.F. Sullivan, John S. Stewart, H Lambert, Agamemnon A. Epenetos, D Snook, Gregory Sivolapenko, A. A. Epenetos, P. R. Mason, Anthony Maraveyas and D Snook. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, British Journal of Cancer, Clinical Cancer Research, The Journal of Immunology and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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