G Abelev

53 papers receiving 2.0k citations

G Abelev's Hit Papers

Alpha-Fetoprotein in Ontogenesis and its Association with Malignant Tumors 1971 · 734 citations
7340+21+42Years since publication200400600

Peers

G Abelev
Comparison fields: 5 of 93
  • Hepatology 371
  • Reproductive Medicine 190
  • Cancer Research 263
  • Pediatrics, Perinatology and Child Health 277
  • Surgery 616
Replace K. Robert McIntire with:
K. Robert McIntire United States
Goro Kōsaki Japan
Stefan Schweyer Germany
Bernard Drénou France
Michio Ogawa Japan
Yutaka Midorikawa Japan
Yutaka Suehiro Japan
J. C. E. Underwood United Kingdom
James P. Grenert United States
Jean‐François Mosnier France
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Citations per field
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K. Robert McIntire · 1×
Citations per year

Countries citing papers authored by G Abelev

Since Specialization
Citations

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

Fields of papers citing papers by G Abelev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Alpha-Fetoprotein in Ontogenesis and its Association with Malignant Tumors
Hit paper breakdown →
1971734
2
PRODUCTION OF EMBRYONAL α-GLOBULIN BY TRANSPLANTABLE MOUSE HEPATOMAS
Hit paper breakdown →
1963444
3 1967237
4 1970199
5 1974101
6 197197
7 199983
8 197635
9 198928
10 197028
11 198521
12 198421
13 197220
14 196620
15 197319
16 196915
17 198913
18 197113
19 197111
20 199810

About G Abelev

G Abelev is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Hepatology and Surgery, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Liver physiology and pathology (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Blood groups and transfusion (7 papers), Virus-based gene therapy research (6 papers), Bacteriophages and microbial interactions (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). The work is most often cited by research in Hepatology (371 citations), Reproductive Medicine (190 citations), Cancer Research (263 citations), Pediatrics, Perinatology and Child Health (277 citations) and Surgery (616 citations). G Abelev has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include S. D. Perova, I. S. Irlin, N. I. Khramkova, Gregory T. O’Conor, José Uriel, Yu. S. Tatarinov, Н И Переводчикова, N. V. Engelhardt, Anatoli S. Gleiberman and I. V. Uryvaeva. Their work appears in journals such as International Journal of Cancer, Tumor Biology, Molecular Immunology, Seminars in Cancer Biology and Bulletin of Experimental Biology and Medicine.

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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