E. Pietrzak

622 total citations
8 papers, 466 citations indexed

About

E. Pietrzak is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, E. Pietrzak has authored 8 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Genetics. Recurrent topics in E. Pietrzak's work include Sarcoma Diagnosis and Treatment (2 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers) and Hormonal and reproductive studies (1 paper). E. Pietrzak is often cited by papers focused on Sarcoma Diagnosis and Treatment (2 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers) and Hormonal and reproductive studies (1 paper). E. Pietrzak collaborates with scholars based in United States and Poland. E. Pietrzak's co-authors include Surabhi Kakati, A. A. Sandberg, Longina M. Gibas, James F. Reynolds, L Herrera, Avery A. Sandberg, Hannah Rosenthal, W. Roy Slaunwhite, Claude Turc‐Carel and Sandra O. Gollnick and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Medical Genetics and Journal of Reproductive Immunology.

In The Last Decade

E. Pietrzak

8 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Pietrzak United States	6	261	193	126	119	85	8	466
Mariann Christensen Denmark	12	172 0.7×	212 1.1×	111 0.9×	121 1.0×	104 1.2×	28	502
Steven Penegar United Kingdom	12	259 1.0×	168 0.9×	132 1.0×	260 2.2×	148 1.7×	20	552
Takehiko Hatano Japan	12	77 0.3×	131 0.7×	39 0.3×	99 0.8×	81 1.0×	26	406
Li E. Wang United States	11	96 0.4×	113 0.6×	48 0.4×	330 2.8×	140 1.6×	12	476
K Sampi Japan	11	132 0.5×	137 0.7×	55 0.4×	199 1.7×	22 0.3×	55	476
Tahia Sellami‐Boudawara Tunisia	17	110 0.4×	233 1.2×	93 0.7×	388 3.3×	147 1.7×	48	661
Sabrina Zanardi Italy	13	103 0.4×	107 0.6×	85 0.7×	119 1.0×	53 0.6×	26	570
P C Walsh United States	9	132 0.5×	104 0.5×	214 1.7×	172 1.4×	117 1.4×	12	698
O. I. Olopade United States	9	63 0.2×	195 1.0×	141 1.1×	209 1.8×	136 1.6×	14	491
Jae Gahb Park South Korea	9	190 0.7×	217 1.1×	84 0.7×	401 3.4×	86 1.0×	12	708

Countries citing papers authored by E. Pietrzak

Since Specialization

Citations

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

Fields of papers citing papers by E. Pietrzak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Pietrzak

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

All Works

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8 of 8 papers shown

1.

Cheng, Hwei-Ling, Sara L. Schneider, Colleen Kane, et al.. (1993). TGF-β2 gene and protein expression in maternal and fetal tissues at various stages of murine development. Journal of Reproductive Immunology. 25(2). 133–148. 31 indexed citations

2.

Turc‐Carel, Claude, et al.. (1988). The human int-1 gene is located at chromosome region 12q12-12q13 and is not rearranged in myxoid liposarcoma with t(12;16) (q13;p11).. PubMed. 1(4). 397–405. 29 indexed citations

3.

Kakati, Surabhi, Janusz Limon, Paola Dal Cin, et al.. (1988). Abnormally banded region in a poorly differentiated sarcoma is not correlated with amplification of c-MYC or c-MOS protooncogenes. Cancer Genetics and Cytogenetics. 34(1). 111–115. 1 indexed citations

4.

Turc‐Carel, Claude, Paola Dal Cin, Janusz Limon, et al.. (1987). 19 Cytogenetic and molecular studies of adipose tissue tumors. Cancer Genetics and Cytogenetics. 28(1). 33–33. 14 indexed citations

5.

Herrera, L, Surabhi Kakati, Longina M. Gibas, et al.. (1986). Gardner syndrome in a man with an interstitial deletion of 5q. American Journal of Medical Genetics. 25(3). 473–476. 327 indexed citations

6.

Pietrzak, E., et al.. (1986). A method to generate microcells from human lymphoblasts for use in microcell mediated chromosome transfer. In Vitro Cellular & Developmental Biology - Plant. 22(10). 615–620. 1 indexed citations

7.

Rosenthal, Hannah, et al.. (1975). Binding of the Sulfates of Estradiol-17β to Human Serum Albumin and Plasma. The Journal of Clinical Endocrinology & Metabolism. 41(6). 1144–1154. 13 indexed citations

8.

Rosenthal, Hannah, E. Pietrzak, W. Roy Slaunwhite, & Avery A. Sandberg. (1972). Binding of Estrone Sulfate in Human Plasma. The Journal of Clinical Endocrinology & Metabolism. 34(5). 805–813. 50 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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