Eugene J. Krob

873 total citations
47 papers, 664 citations indexed

About

Eugene J. Krob is a scholar working on Physiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eugene J. Krob has authored 47 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Physiology, 21 papers in Molecular Biology and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eugene J. Krob's work include Erythrocyte Function and Pathophysiology (23 papers), Lipid Membrane Structure and Behavior (17 papers) and Blood properties and coagulation (14 papers). Eugene J. Krob is often cited by papers focused on Erythrocyte Function and Pathophysiology (23 papers), Lipid Membrane Structure and Behavior (17 papers) and Blood properties and coagulation (14 papers). Eugene J. Krob collaborates with scholars based in United States and Philippines. Eugene J. Krob's co-authors include Harry Walter, Donald E. Brooks, Romulo Garza, Geoffrey V.F. Seaman, G.V.F. Seaman, Shigeru Sasakawa, Bernard J. Moncla, Ali Pedram, A. Miller and Karl F. Swingle and has published in prestigious journals such as The Journal of Immunology, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Eugene J. Krob

47 papers receiving 628 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eugene J. Krob United States 17 243 208 170 114 107 47 664
Vithaldas P. Shanbhag Sweden 14 301 1.2× 188 0.9× 70 0.4× 80 0.7× 45 0.4× 32 660
Geoffrey V.F. Seaman United States 11 74 0.3× 118 0.6× 70 0.4× 48 0.4× 103 1.0× 32 382
P.Å. Albertsson Sweden 14 359 1.5× 145 0.7× 48 0.3× 55 0.5× 63 0.6× 23 709
Yukihisa Fujita Japan 17 289 1.2× 61 0.3× 31 0.2× 40 0.4× 35 0.3× 44 732
H. Leopold Austria 12 186 0.8× 13 0.1× 45 0.3× 105 0.9× 118 1.1× 26 579
N. V. B. Marsden Sweden 11 73 0.3× 33 0.2× 78 0.5× 42 0.4× 54 0.5× 28 322
Michael E. Friedman United States 10 133 0.5× 57 0.3× 19 0.1× 102 0.9× 64 0.6× 21 361
Sergio Paredes Argentina 12 246 1.0× 21 0.1× 13 0.1× 209 1.8× 79 0.7× 22 491
Melvin H. Gottlieb United States 14 206 0.8× 15 0.1× 65 0.4× 20 0.2× 151 1.4× 25 525
Manfred Becker Germany 16 446 1.8× 8 0.0× 39 0.2× 89 0.8× 66 0.6× 69 1.0k

Countries citing papers authored by Eugene J. Krob

Since Specialization
Citations

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

Fields of papers citing papers by Eugene J. Krob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene J. Krob. 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 Eugene J. Krob. The network helps show where Eugene J. Krob may publish in the future.

Co-authorship network of co-authors of Eugene J. Krob

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene J. Krob. A scholar is included among the top collaborators of Eugene J. Krob based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eugene J. Krob. Eugene J. Krob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Walter, Harry, et al.. (1992). Effect of cell exposure to top or bottom phase prior to cell partitioning in dextran-poly(ethylene glycol) aqueous phase systems: erythrocytes as a model. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1105(2). 221–229. 8 indexed citations
2.
Walter, Harry, et al.. (1991). Partitioning of cells in dextran—poly(ethylene glycol) aqueous phase systems. Journal of Chromatography A. 542(2). 397–411. 6 indexed citations
3.
Walter, Harry, Eugene J. Krob, Rosalinda B. Wenby, & Herbert J. Meiselman. (1990). Differential effect of pH on the density and volume of rat reticulocytes and erythrocytes. Cell Biophysics. 16(3). 139–148. 1 indexed citations
4.
Walter, Harry & Eugene J. Krob. (1989). Analysis of density-fractionated rat red blood cells of different ages by partitioning in two-polymer aqueous phase systems. Journal of Chromatography A. 479(2). 307–317. 6 indexed citations
5.
Walter, Harry & Eugene J. Krob. (1988). Effect of rapidity of phase separation on the efficiency of cell fractionation by partitioning in aqueous two-phase systems. Biochimica et Biophysica Acta (BBA) - General Subjects. 966(1). 65–72. 9 indexed citations
6.
Walter, Harry, et al.. (1988). Detection of surface differences between closely related cell populations by partitioning. Cultured K-562 cell sublines. Cell Biophysics. 13(3). 173–187. 3 indexed citations
7.
Walter, Harry & Eugene J. Krob. (1988). Partitioning behavior of erythrocytes in aqueous two-phase systems containing hydroxypropyl starch and polyethylene glycol. Journal of Chromatography A. 441(2). 261–273. 4 indexed citations
8.
Walter, Harry, et al.. (1987). Fractionation of K-562 cells on the basis of their surface properties by partitioning in two-polymer aqueous-phase systems. Cell Biophysics. 10(3). 217–232. 6 indexed citations
9.
10.
Walter, Harry, Eugene J. Krob, & Ali Pedram. (1983). Differential effect of neuraminidase-treatment on the surface charge-associated properties of rat reticulocytes and erythrocytes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 731(3). 487–490. 2 indexed citations
11.
Walter, Harry, et al.. (1980). Correlation between phagocytic and membrane surface properties reflected by partitioning of human peripheral blood monocytes in two-polymer aqueous phases. Biochimica et Biophysica Acta (BBA) - Biomembranes. 602(2). 309–322. 16 indexed citations
12.
Walter, Harry, et al.. (1979). Subfractionation of Human Peripheral Blood Lymphocytes on the Basis of their Surface Properties by Partitioning in Two-Polymer Aqueous Phase Systems. The Journal of Immunology. 123(4). 1687–1695. 18 indexed citations
13.
14.
Walter, Harry & Eugene J. Krob. (1976). Partition in two-polymer aqueous phases reflects differences between membrane surface properties of erythrocytes, ghosts and membrane vesicles. Biochimica et Biophysica Acta (BBA) - Biomembranes. 455(1). 8–23. 11 indexed citations
15.
16.
Walter, Harry, et al.. (1976). Hydrophobic affinity partition in aqueous two-phase systems of erythrocytes from different species. Experimental Cell Research. 102(1). 14–24. 27 indexed citations
17.
Walter, Harry, et al.. (1975). Abnormal Membrane Surface Properties during Maturation of Rat Reticulocytes Elicited by Bleeding as Measured by Partition in Two‐Polymer Aqueous Phases. British Journal of Haematology. 31(2). 149–157. 5 indexed citations
18.
Walter, Harry, et al.. (1973). Partition of rat liver cells in aqueous dextran-polyethylene glycol phase systems. Experimental Cell Research. 82(1). 15–26. 21 indexed citations
19.
Walter, Harry, et al.. (1973). Membrane surface properties of rat bone marrow cells as determined by partition in two-polymer aqueous phase systems. Experimental Cell Research. 79(1). 63–72. 14 indexed citations
20.

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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