Edward J. Olhava

8.5k citations
27 papers · 3.8k indexed · 2 hit papers · h-index 19
Topics
Epigenetics and DNA Methylation (14 papers)Acute Myeloid Leukemia Research (12 papers)Cancer-related gene regulation (11 papers)

In The Last Decade

Edward J. Olhava

27 papers receiving 3.7k citations

Hit Papers

Targeting the NLRP3 inflammasome in inflammatory dise...2013202620172021201820134008001.2k

Peers

Edward J. Olhava
Comparison fields: 5 of 110
  • Molecular Biology 2.7k
  • Immunology 626
  • Organic Chemistry 601
  • Hematology 492
  • Oncology 244
Replace H. Martin Seidel with:
H. Martin Seidel United States
Daniela Rossi Italy
Reidar Wallin United States
Alakananda Basu United States
Robert A. Orlando United States
J. Fred Nagelkerke Netherlands
Franck Peiretti France
Navjotsingh Pabla United States
Eva Hurt‐Camejo Sweden
Edward J. Olhava relative to H. Martin Seidel United States H. Martin Seidel's profile →
Citations per field
00.5×4.4×
H. Martin Seidel · 1×
Citations per year

Countries citing papers authored by Edward J. Olhava

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Olhava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward J. Olhava

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Olhava. A scholar is included among the top collaborators of Edward J. Olhava 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 Edward J. Olhava. Edward J. Olhava 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
1 349
2
Targeting the NLRP3 inflammasome in inflammatory diseasesbreakdown →
1460
3 46
4 23
5 21
6 96
7 64
8
Potent inhibition of DOT1L as treatment of MLL-fusion leukemiabreakdown →
546
9 131
10 114
11 101
12 3
13 87
14 129
15 34
16 44
17 10
18 260
19 132
20 26

About Edward J. Olhava

Edward J. Olhava is a scholar working on Hematology, Environmental Chemistry and Biotechnology, having authored 27 papers that have together received 3.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), Acute Myeloid Leukemia Research (12 papers) and Cancer-related gene regulation (11 papers). The work is most often cited by research in Hematology (492 citations), Biological Psychiatry (104 citations) and Molecular Biology (2.7k citations). Edward J. Olhava has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include H. Martin Seidel, Matthew Mangan, Eicke Latz, Gary D. Glick, William Roush, David A. Evans, Jeffrey S. Johnson, Robert A. Copeland, Margaret Porter Scott and Roy M. Pollock. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Blood.

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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