E Sudora

437 total citations
11 papers, 324 citations indexed

About

E Sudora is a scholar working on Physiology, Hematology and Molecular Biology. According to data from OpenAlex, E Sudora has authored 11 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in E Sudora's work include Erythrocyte Function and Pathophysiology (8 papers), Blood groups and transfusion (7 papers) and Diabetes and associated disorders (2 papers). E Sudora is often cited by papers focused on Erythrocyte Function and Pathophysiology (8 papers), Blood groups and transfusion (7 papers) and Diabetes and associated disorders (2 papers). E Sudora collaborates with scholars based in United States. E Sudora's co-authors include S. P. Masouredis, Ann Stitzel, J Forristal, Clark D. West, Roxane Spitzer, Enrique H. Vallota, Neil C. Davis, L C Mahan, Edward J. Victoria and Elaine A. Muchmore and has published in prestigious journals such as Science, Journal of Clinical Investigation and Blood.

In The Last Decade

E Sudora

11 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E Sudora United States	8	165	165	106	99	65	11	324
J. Y. Muller France	11	165 1.0×	102 0.6×	49 0.5×	40 0.4×	34 0.5×	17	252
Scott J. Staniforth United Kingdom	4	231 1.4×	430 2.6×	296 2.8×	35 0.4×	22 0.3×	4	463
Maria Antonietta Villa Italy	9	189 1.1×	68 0.4×	10 0.1×	79 0.8×	19 0.3×	19	245
Sophie Gié France	6	121 0.7×	314 1.9×	247 2.3×	21 0.2×	87 1.3×	7	447
Nobuaki Takagi Japan	6	125 0.8×	223 1.4×	191 1.8×	20 0.2×	26 0.4×	10	297
van Eys J United States	5	247 1.5×	35 0.2×	9 0.1×	25 0.3×	50 0.8×	8	320
Jeffrey Gryn United States	11	231 1.4×	158 1.0×	63 0.6×	8 0.1×	119 1.8×	14	392
Alvin Margolius United States	7	365 2.2×	49 0.3×	11 0.1×	15 0.2×	37 0.6×	7	538
E. K. Marks United States	6	123 0.7×	64 0.4×	4 0.0×	67 0.7×	58 0.9×	9	300
Julie Pegon France	6	236 1.4×	132 0.8×	9 0.1×	16 0.2×	79 1.2×	7	357

Countries citing papers authored by E Sudora

Since Specialization

Citations

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

Fields of papers citing papers by E Sudora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Sudora

This figure shows the co-authorship network connecting the top 25 collaborators of E Sudora. A scholar is included among the top collaborators of E Sudora 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 E Sudora. E Sudora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Sudora, E, et al.. (1992). Alterations in an indium-111 Fab? under conditions of utilization. European Journal of Nuclear Medicine and Molecular Imaging. 19(6). 387–93. 6 indexed citations

2.

Halpern, Samuel E., et al.. (1990). Effect of acetylation on monoclonal antibody ZCE-025 Fab': distribution in normal and tumor-bearing mice.. PubMed. 9(2). 221–30. 8 indexed citations

3.

Masouredis, S. P., L C Mahan, E Sudora, James W. Langley, & Edward J. Victoria. (1981). Estimation of anti‐D IgG in red blood cell eluates using the specific radioactivity of 125I‐labeled IgG: effect of unlabeled, cytophilic IgG. Transfusion. 21(4). 377–383. 7 indexed citations

4.

Masouredis, S. P., E Sudora, L C Mahan, & Edward J. Victoria. (1980). Immunoelectron microscopy of Kell and Cellano antigens on red cell ghosts.. PubMed. 13(1-4). 59–64. 10 indexed citations

5.

Masouredis, S. P., et al.. (1980). Quantitative immunoferritin microscopy of Fya, Fyb, Jka, U, and Dib antigen site numbers on human red cells. Blood. 56(6). 969–977. 27 indexed citations

6.

Masouredis, S. P., E Sudora, L C Mahan, & Edward J. Victoria. (1976). Antigen site densities and ultrastructural distribution patterns of red cell Rh antigens. Transfusion. 16(2). 94–106. 26 indexed citations

7.

Masouredis, S. P., E Sudora, L C Mahan, & Edward J. Victoria. (1976). Antigen Site Densities and Ultrastructural Distribution Patterns of Red Cell Rh Antigens. Transfusion. 16(2). 94–106. 14 indexed citations

8.

Masouredis, S. P. & E Sudora. (1975). Ultrastructural mapping of methyldopa and anti-D IgG erythrocyte antigen receptors.. Journal of Clinical Investigation. 55(4). 771–782. 8 indexed citations

9.

Victoria, Edward J., Elaine A. Muchmore, E Sudora, & S. P. Masouredis. (1975). The role of antigen mobility in anti-Rh0(D)-induced agglutination.. Journal of Clinical Investigation. 56(2). 292–301. 17 indexed citations

10.

Marzec, Ulla M., et al.. (1972). Methyldopa-induced erythrocyte binding IgG: another model of nonspecific attachment of immunoglobulins to erythrocytes.. PubMed. 6(3). 285–93. 2 indexed citations

11.

Spitzer, Roxane, Enrique H. Vallota, J Forristal, et al.. (1969). Serum C′3 Lytic System in Patients with Glomerulonephritis. Science. 164(3878). 436–437. 199 indexed citations

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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