F. Doljanski

1.3k citations
49 papers · 1.1k · h-index 17

Impact in

Papers in

F. Doljanski

46 papers receiving 911 citations

Peers

F. Doljanski
Comparison fields: 5 of 128
  • Physiology 42
  • Biotechnology 77
  • Immunology and Allergy 41
  • Cell Biology 117
  • Molecular Biology 453
Replace G. M. W. Cook with:
G. M. W. Cook United Kingdom
Yoshitaka Hamaguchi Japan
R. Parshad United States
Harold W. Fisher United States
Kenneth D. Noonan United States
Mack J. Fulwyler United States
Anita Lewit‐Bentley France
Shelby L. Berger United States
Jean Méry France
Nina Lampen United States
F. Doljanski relative to G. M. W. Cook United Kingdom G. M. W. Cook's profile →
Citations per field
00.5×12×
G. M. W. Cook · 1×
Citations per year

Countries citing papers authored by F. Doljanski

Since Specialization
Citations

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

Fields of papers citing papers by F. Doljanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969148
2 197386
3 197681
4 196268
5 196965
6 197259
7 197257
8 197446
9 197644
10 196041
11 200438
12 197538
13 199238
14 197431
15 197429
16 198525
17
A study of surface ionogenic groups of different types of normal and leukemic cells.
197022
18 196615
19
A study of surface ionogenic groups of chick embryo cells transformed by Rous sarcoma virus.
197012
20 196011

About F. Doljanski

F. Doljanski is a scholar working on Molecular Biology, Biomedical Engineering, Cell Biology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (9 papers), Lipid Membrane Structure and Behavior (5 papers), Glycosylation and Glycoproteins Research (4 papers), Animal Virus Infections Studies (4 papers), Cell Adhesion Molecules Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Physiology (42 citations), Biotechnology (77 citations), Immunology and Allergy (41 citations), Cell Biology (117 citations) and Molecular Biology (453 citations). F. Doljanski has collaborated with scholars based in Israel and United Kingdom. Frequent co-authors include N.B. Grover, Shmuel A. Ben‐Sasson, S Eisenberg, Deborah Patinkin, David Weiss, Marcel Mersel, Mark A. Wainberg, Zvi Bentwich, Shimon Slavin and M. Schlesinger. Their work appears in journals such as Experimental Cell Research, Biophysical Journal, Development Genes and Evolution, Nature and Journal of Cellular Physiology.

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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