Aviva C. Krauss

744 citations
20 papers · 442 indexed · 1 hit paper · h-index 9
Topics
Hematopoietic Stem Cell Transplantation (5 papers)Acute Myeloid Leukemia Research (4 papers)CAR-T cell therapy research (3 papers)
Partner nations
United StatesIsraelItaly

In The Last Decade

Aviva C. Krauss

18 papers receiving 442 citations

Hit Papers

FDA Approval Summary: (Daunorubicin and Cytarabine) Lipos...2018202620202023201850100150200250

Peers

Aviva C. Krauss
Comparison fields: 5 of 71
  • Hematology 159
  • Molecular Biology 155
  • Oncology 118
  • Biomaterials 113
  • Biomedical Engineering 89
Replace Michael L. Manning with:
Michael L. Manning United States
Laura Blanco Spain
Mathangi Srinivasan United States
Weihsu Claire Chen Canada
Sarah H. Beachy United States
Jing Gong United States
Frank Passero United States
Mariana Ozello Baratti Brazil
Derek Reichel United States
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Aviva C. Krauss relative to Michael L. Manning United States Michael L. Manning's profile →
Citations per field
00.5×2.6×
Michael L. Manning · 1×
Citations per year

Countries citing papers authored by Aviva C. Krauss

Since Specialization
Citations

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

Fields of papers citing papers by Aviva C. Krauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aviva C. Krauss. 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 Aviva C. Krauss. The network helps show where Aviva C. Krauss may publish in the future.

Co-authorship network of co-authors of Aviva C. Krauss

This figure shows the co-authorship network connecting the top 25 collaborators of Aviva C. Krauss. A scholar is included among the top collaborators of Aviva C. Krauss 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 Aviva C. Krauss. Aviva C. Krauss 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
#WorkIndexed citations
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4 0
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FDA Approval Summary: (Daunorubicin and Cytarabine) Liposome for Injection for the Treatment of Adults with High-Risk Acute Myeloid Leukemiabreakdown →
252
6 35
7 3
8 15
9 6
10 6
11 22
12 41
13 10
14 6
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16 12
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18 4
19 1
20 2

About Aviva C. Krauss

Aviva C. Krauss is a scholar working on Hematology, Transplantation and Immunology, having authored 20 papers that have together received 442 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (159 citations), Biomaterials (113 citations) and Oncology (118 citations). Aviva C. Krauss has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Ann T. Farrell, Richard Pazdur, Liang Li, Paresma Patel, Anamitro Banerjee, Gideon M. Blumenthal, Jiang Liu, Xin Gao, Wentao Fu and Kumar G. Janoria. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

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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