CI Civin

8.2k total citations · 4 hit papers
63 papers, 6.9k citations indexed

About

CI Civin is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, CI Civin has authored 63 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Hematology, 21 papers in Molecular Biology and 19 papers in Immunology. Recurrent topics in CI Civin's work include Hematopoietic Stem Cell Transplantation (17 papers), Acute Myeloid Leukemia Research (14 papers) and Glycosylation and Glycoproteins Research (12 papers). CI Civin is often cited by papers focused on Hematopoietic Stem Cell Transplantation (17 papers), Acute Myeloid Leukemia Research (14 papers) and Glycosylation and Glycoproteins Research (12 papers). CI Civin collaborates with scholars based in United States, Canada and Japan. CI Civin's co-authors include MJ Fackler, W. Stratford May, Lewis C. Strauss, Joseph H. Phillips, M R Loken, Lewis L. Lanier, J H Shaper, Charlotte Brovall, MB Kastan and Linda M. Scott and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

CI Civin

62 papers receiving 6.6k citations

Hit Papers

The relationship of CD16 (Leu-11) and Leu-19 (NKH-1) anti... 1984 2026 1998 2012 1986 1984 1996 1996 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
CI Civin United States 37 3.1k 2.5k 2.4k 1.2k 1.2k 63 6.9k
D. Robert Sutherland Canada 41 3.1k 1.0× 2.3k 0.9× 2.5k 1.0× 1.5k 1.2× 1.2k 1.0× 97 7.3k
T. M. Dexter United Kingdom 36 2.6k 0.8× 1.8k 0.7× 2.3k 0.9× 1.5k 1.3× 1.2k 1.1× 101 6.3k
Stewart D. Lyman United States 38 2.3k 0.8× 4.5k 1.8× 2.8k 1.2× 1.5k 1.3× 893 0.8× 78 8.5k
KM Zsebo United States 40 2.3k 0.7× 2.6k 1.0× 1.7k 0.7× 972 0.8× 952 0.8× 82 5.6k
Stephen G. Emerson United States 46 3.6k 1.2× 4.0k 1.6× 2.1k 0.9× 1.7k 1.4× 1.4k 1.2× 117 8.2k
Colin A. Sieff United States 40 2.4k 0.8× 1.8k 0.7× 2.5k 1.1× 1.4k 1.1× 893 0.8× 90 6.1k
Anne Wilson Switzerland 49 2.6k 0.8× 5.0k 2.0× 4.8k 2.0× 1.9k 1.6× 1.0k 0.9× 117 10.6k
Laure Coulombel France 43 2.5k 0.8× 1.5k 0.6× 1.9k 0.8× 714 0.6× 1.1k 0.9× 127 5.3k
Curt I. Civin United States 49 3.4k 1.1× 1.7k 0.7× 4.9k 2.1× 2.0k 1.6× 1.4k 1.2× 202 9.3k
Ivan Bertoncello Australia 38 1.6k 0.5× 1.5k 0.6× 2.4k 1.0× 1.6k 1.3× 1.1k 0.9× 120 6.0k

Countries citing papers authored by CI Civin

Since Specialization
Citations

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

Fields of papers citing papers by CI Civin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of CI Civin

This figure shows the co-authorship network connecting the top 25 collaborators of CI Civin. A scholar is included among the top collaborators of CI Civin 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 CI Civin. CI Civin 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.
Nc, Gorin, Rui Zheng, Brenda R. Baldwin, et al.. (2002). Human AML cells in NOD/SCID mice: engraftment potential and gene expression. Leukemia. 16(9). 1818–1826. 50 indexed citations
2.
Leung, Wing, Allen Chen, John M. Davis, et al.. (1998). Frequent detection of tumor cells in hematopoietic grafts in neuroblastoma and Ewing’s sarcoma. Bone Marrow Transplantation. 22(10). 971–979. 54 indexed citations
3.
Fackler, MJ, et al.. (1996). CD34: structure, biology, and clinical utility [see comments]. Blood. 87(1). 1–13. 731 indexed citations breakdown →
4.
Levenstein, Mark E., Scott H. Kaufmann, Jasper Chen, et al.. (1996). Expression of the hematopoietic growth factor receptor FLT3 (STK- 1/Flk2) in human leukemias. Blood. 87(3). 1089–1096. 260 indexed citations
5.
Champagne, Martin & CI Civin. (1994). CD34+ progenitor/stem cells for transplantation. 8(1). 15–25. 3 indexed citations
6.
Civin, CI, et al.. (1993). Antigenic Analysis of Hematopoiesis: A Review. Journal of Hematotherapy. 2(2). 137–144. 85 indexed citations
7.
Silvestri, F, Shripad Banavali, Ben C. Hulette, et al.. (1992). CD34 antigen expression of acute myeloid leukemia-colony forming cells. Stem Cells. 10(S1). 98–100. 4 indexed citations
8.
9.
Carroll, Andrew J., CI Civin, N Schneider, et al.. (1991). The t(1;22) (p13;q13) is nonrandom and restricted to infants with acute megakaryoblastic leukemia: a Pediatric Oncology Group Study. Blood. 78(3). 748–752. 4 indexed citations
10.
Carroll, Andrew J., CI Civin, N Schneider, et al.. (1991). The t(1;22) (p13;q13) is nonrandom and restricted to infants with acute megakaryoblastic leukemia: a Pediatric Oncology Group Study. Blood. 78(3). 748–752. 112 indexed citations
11.
Spitalnik, Patrice F., Steven L. Spitalnik, Angel F. López, et al.. (1989). Carbohydrate-specific monoclonal antibodies bind to human granulocytes and stimulate antibody-dependent cellular cytotoxicity. Archives of Biochemistry and Biophysics. 271(1). 168–176. 6 indexed citations
12.
Shah, Virendra O., CI Civin, & Michael R. Loken. (1988). Flow cytometric analysis of human bone marrow. IV. Differential quantitative expression of T-200 common leukocyte antigen during normal hemopoiesis.. The Journal of Immunology. 140(6). 1861–1867. 131 indexed citations
13.
Schwartz, Cindy L., Caterina P. Minniti, Paul Harwood, et al.. (1987). Elimination of clonogenic malignant human T cells using monoclonal antibodies in combination with 2'-deoxycoformycin.. Journal of Clinical Oncology. 5(12). 1900–1911. 1 indexed citations
14.
Loken, MR, et al.. (1987). Flow cytometric analysis of human bone marrow: I. Normal erythroid development. Blood. 69(1). 255–263. 28 indexed citations
15.
Strauss, Lewis C., Scott D. Rowley, Vincent F. La Russa, et al.. (1986). Antigenic analysis of hematopoiesis. V. Characterization of My-10 antigen expression by normal lymphohematopoietic progenitor cells.. PubMed. 14(9). 878–86. 165 indexed citations
16.
Civin, CI, et al.. (1985). Anti-My-28, an antigranulocyte mouse monoclonal antibody, binds to a sugar sequence in lacto-N-neotetraose. Blood. 66(2). 319–326. 39 indexed citations
17.
Beschorner, W. E., CI Civin, & Lewis C. Strauss. (1985). Localization of hematopoietic progenitor cells in tissue with the anti-My-10 monoclonal antibody.. PubMed. 119(1). 1–4. 66 indexed citations
18.
Herlyn, Meenhard, Jianwei Shen, Henry F. Sears, et al.. (1984). Detection of a circulating gastrointestinal cancer antigen in sera of patients with gastrointestinal malignancies by a double determinant immunoassay with monoclonal antibodies against human blood group determinants.. PubMed. 55(1). 23–35. 23 indexed citations
19.
Tabilio, Antonio, Pier Giuseppe Pelicci, G Vinci, et al.. (1983). Myeloid and megakaryocytic properties of K-562 cell lines.. PubMed. 43(10). 4569–74. 131 indexed citations
20.
Marie, JP, et al.. (1981). Granulopoietic differentiation in AML blasts in culture. Blood. 58(4). 670–674. 1 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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