Miriam Fine

1.1k citations
15 papers · 445 · h-index 9

Impact in

Papers in

Miriam Fine

15 papers receiving 428 citations

Peers

Miriam Fine
Comparison fields: 5 of 76
  • Biotechnology 47
  • Pathology and Forensic Medicine 68
  • Hematology 37
  • Oncology 87
  • Molecular Biology 215
Replace O. P. Samarina with:
O. P. Samarina Russia
Dagmar Denk Austria
Malka Hochberg Israel
Kazuko Ito Japan
R. S. Athwal United States
Shizue Katoh Japan
Udo Mallick Germany
Maja Matulić Croatia
Haixia Guo China
Yoshihiro Yamamoto Japan
Miriam Fine relative to O. P. Samarina Russia O. P. Samarina's profile →
Citations per field
00.5×6.5×
O. P. Samarina · 1×
Citations per year

Countries citing papers authored by Miriam Fine

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Fine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1990146
2 198895
3 199981
4
Women's responses to the mammography experience.
199431
5 200129
6 198413
7 202013
8 197913
9 20039
10 20016
11
Analyse comparative des proteines seriques dans deux especes du genre Pleurodeles amphibien, urodele Pleurodeles waltlii et Pleurodeles poireti
19663
12 20192
13 19832
14 20211
15 19971

About Miriam Fine

Miriam Fine is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Plant Science and Oncology, having authored 15 papers that have together received 445 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (3 papers), Acute Myeloid Leukemia Research (2 papers), Transgenic Plants and Applications (2 papers), Plant Virus Research Studies (2 papers), BRCA gene mutations in cancer (2 papers), Identification and Quantification in Food (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Plant tissue culture and regeneration (2 papers). The work is most often cited by research in Biotechnology (47 citations), Pathology and Forensic Medicine (68 citations), Hematology (37 citations), Oncology (87 citations) and Molecular Biology (215 citations). Miriam Fine has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include R.L. Yenofsky, Daniel A. Arber, Perry Watts, Barbara K. Rimer, David J. Inwards, Stephen M. Ansell, Karen Pulford, John G. Strickler, Mark E. Law and Syed M. Jalal. Their work appears in journals such as Archives of Microbiology, Microbial Ecology, Familial Cancer, The American Journal of Surgical Pathology and European Journal of Cancer.

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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