Daniel D. Waller

777 citations
14 papers · 290 · h-index 8

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Protein Degradation and Inhibitors 2
    • Biochemical and Molecular Research 2
    • Chemokine receptors and signaling 2
    • Bone health and treatments 2

Daniel D. Waller

13 papers receiving 287 citations

Peers

Daniel D. Waller
Comparison fields: 5 of 54
  • Hematology 39
  • Cell Biology 55
  • Molecular Biology 209
  • Cancer Research 41
  • Oncology 58
Replace Kwang-Sung Ahn with:
Kwang-Sung Ahn South Korea
Savita Lochab India
Iryna Kolosenko Sweden
Aïda Ghoul France
Juan Esquivel United States
Stela Álvarez-Fernández Spain
Reena G. Patel United States
Ronan Le Moigne United States
Ricarda Schwab Germany
Daniel D. Waller relative to Kwang-Sung Ahn South Korea Kwang-Sung Ahn's profile →
Citations per field
00.5×2.9×
Kwang-Sung Ahn · 1×
Citations per year

Countries citing papers authored by Daniel D. Waller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Waller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel D. Waller. 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 Daniel D. Waller. The network helps show where Daniel D. Waller may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel D. Waller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel D. Waller Line = papers co-authored together Daniel D. Waller links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201967
2 201961
3 201839
4 200735
5 200826
6 202122
7 201612
8 201910
9 20236
10 20226
11 20183
12 20082
13 20231
14 20200

About Daniel D. Waller

Daniel D. Waller is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Hematology and Cell Biology, having authored 14 papers that have together received 290 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Multiple Myeloma Research and Treatments (3 papers), HIV/AIDS drug development and treatment (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Protein Degradation and Inhibitors (2 papers), Chemokine receptors and signaling (2 papers), Bone health and treatments (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Hematology (39 citations), Cell Biology (55 citations), Molecular Biology (209 citations), Cancer Research (41 citations) and Oncology (58 citations). Daniel D. Waller has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Youla S. Tsantrizos, Jaeok Park, Michaël Sébag, David Y. Thomas, Malcolm Whiteway, Tae‐Hoon Chung, Phyllis S.Y. Chong, Qi Zeng, Wee Joo Chng and Jing-Yuan Chooi. Their work appears in journals such as Journal of Medicinal Chemistry, Blood, Critical Reviews in Biochemistry and Molecular Biology, Eukaryotic Cell and Traffic.

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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