Daniel W. Pierce

3.8k total citations · 1 hit paper
36 papers, 2.0k citations indexed

About

Daniel W. Pierce is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Daniel W. Pierce has authored 36 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Hematology and 11 papers in Oncology. Recurrent topics in Daniel W. Pierce's work include Protein Degradation and Inhibitors (15 papers), Multiple Myeloma Research and Treatments (10 papers) and Microtubule and mitosis dynamics (9 papers). Daniel W. Pierce is often cited by papers focused on Protein Degradation and Inhibitors (15 papers), Multiple Myeloma Research and Treatments (10 papers) and Microtubule and mitosis dynamics (9 papers). Daniel W. Pierce collaborates with scholars based in United States, Spain and United Kingdom. Daniel W. Pierce's co-authors include Ronald D. Vale, Laura Romberg, Steven G. Boxer, Toshio Yanagida, Takashi Funatsu, Yoshie Harada, Ryan Case, Chris Coppin, Long Hsu and Anthony J. Otsuka and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel W. Pierce

35 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Direct observation of single kinesin molecules moving along microtubules

1996 561 citations Ronald D. Vale, Takashi Funatsu et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel W. Pierce United States	19	1.1k	982	244	216	216	36	2.0k
Gary J. Brouhard Canada	22	2.1k 1.9×	2.2k 2.3×	90 0.4×	132 0.6×	137 0.6×	36	3.0k
Cheng‐han Yu United States	22	832 0.8×	744 0.8×	268 1.1×	122 0.6×	74 0.3×	42	1.6k
Martijn M. VanDuijn Netherlands	20	884 0.8×	725 0.7×	59 0.2×	315 1.5×	66 0.3×	50	1.9k
Sophie Cribier France	26	1.7k 1.5×	453 0.5×	234 1.0×	67 0.3×	120 0.6×	47	2.2k
Amber L. Wells United States	18	2.0k 1.9×	1.1k 1.1×	465 1.9×	197 0.9×	132 0.6×	26	3.0k
Charles L. Asbury United States	33	2.9k 2.7×	3.2k 3.2×	436 1.8×	95 0.4×	185 0.9×	81	4.4k
Xiaolin Nan United States	26	1.1k 1.0×	278 0.3×	143 0.6×	144 0.7×	796 3.7×	52	2.3k
Jon W. Erickson United States	29	1.7k 1.6×	684 0.7×	134 0.5×	179 0.8×	21 0.1×	76	2.7k
Elias M. Puchner United States	20	1.1k 1.0×	365 0.4×	770 3.2×	484 2.2×	408 1.9×	37	2.4k

Countries citing papers authored by Daniel W. Pierce

Since Specialization

Citations

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

Fields of papers citing papers by Daniel W. Pierce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel W. Pierce

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

All Works

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20 of 20 papers shown

Paiva, Bruno, et al.. (2023). P799: SYNERGISTIC ANTITUMOR ACTIVITY OF THE BCMA 2 + 1 T CELL ENGAGER (TCE) ALNUCTAMAB (ALNUC; BMS-986349; CC-93269) AND CELMOD AGENTS IN MULTIPLE MYELOMA (MM) PRECLINICAL MODELS. HemaSphere. 7(S3). e805462a–e805462a.

Abbiati, R., Michael Pourdehnad, Soraya Carrancio, et al.. (2021). Quantitative Systems Pharmacology Modeling of Avadomide-Induced Neutropenia Enables Virtual Clinical Dose and Schedule Finding Studies. The AAPS Journal. 23(5). 3 indexed citations

Carrancio, Soraya, Lynda Groocock, Ryan Galasso, et al.. (2021). CC-99282 is a Novel Cereblon (CRBN) E3 Ligase Modulator (CELMoD) Agent with Enhanced Tumoricidal Activity in Preclinical Models of Lymphoma. Blood. 138(Supplement 1). 1200–1200. 12 indexed citations

Wong, Lilly, Manisha Lamba, Daniel E. Bauer, et al.. (2020). Dose- and Schedule-Dependent Immunomodulatory Effects of the Novel Celmod Agent CC-92480 in Patients with Relapsed/Refractory Multiple Myeloma. Blood. 136(Supplement 1). 47–48. 11 indexed citations

Uy, Geoffrey L., Mark D. Minden, Pau Montesinos, et al.. (2019). Clinical Activity of CC-90009, a Cereblon E3 Ligase Modulator and First-in-Class GSPT1 Degrader, As a Single Agent in Patients with Relapsed or Refractory Acute Myeloid Leukemia (R/R AML): First Results from a Phase I Dose-Finding Study. Blood. 134(Supplement_1). 232–232. 23 indexed citations

Jin, Liqing, Nathan Mbong, Stanley Ng, et al.. (2019). A Novel Cereblon E3 Ligase Modulator Eradicates Acute Myeloid Leukemia Stem Cells through Degradation of Translation Termination Factor GSPT1. Blood. 134(Supplement_1). 3940–3940. 8 indexed citations

Veenstra, Veronique L., Helene Damhofer, Cynthia Waasdorp, et al.. (2018). ADAM12 is a circulating marker for stromal activation in pancreatic cancer and predicts response to chemotherapy. Oncogenesis. 7(11). 87–87. 39 indexed citations

Dey, Joyoti, William Kerwin, Marc Grenley, et al.. (2016). A Platform for Rapid, Quantitative Assessment of Multiple Drug Combinations Simultaneously in Solid Tumors In Vivo. PLoS ONE. 11(6). e0158617–e0158617. 6 indexed citations

Rajeshkumar, N.V., Shinichi Yabuuchi, Shweta Pai, et al.. (2016). Superior therapeutic efficacy of nab-paclitaxel over cremophor-based paclitaxel in locally advanced and metastatic models of human pancreatic cancer. British Journal of Cancer. 115(4). 442–453. 42 indexed citations

10.

Chen, Nianhang, Carrie Baker Brachmann, Xiping Liu, et al.. (2015). Albumin-bound nanoparticle (nab) paclitaxel exhibits enhanced paclitaxel tissue distribution and tumor penetration. Cancer Chemotherapy and Pharmacology. 76(4). 699–712. 89 indexed citations

11.

Hidalgo, Manuel, Carlos Plaza, Peter B. Illei, et al.. (2014). Sparc Analysis in the Phase III MPACT Trial of NAB-Paclitaxel (Nab-P) Plus Gemcitabine (GEM) vs GEM Alone for Patients with Metastatic Pancreatic Cancer (PC). Annals of Oncology. 25. ii106–ii106. 27 indexed citations

12.

Pierce, Daniel W., Sabine Ponader, Kumudha Balakrishnan, et al.. (2013). Target Engagement, Pathway Inhibition, and Efficacy Of The Bruton’s Tyrosine Kinase (Btk) Inhibitor CC-292. Blood. 122(21). 4169–4169. 1 indexed citations

13.

Rashid, Dana J., et al.. (2005). Monomeric and dimeric states exhibited by the kinesin‐related motor protein KIF1A. Journal of Peptide Research. 65(6). 538–549. 27 indexed citations

14.

Khan, Shahid, Daniel W. Pierce, & Ronald D. Vale. (2000). Interactions of the chemotaxis signal protein CheY with bacterial flagellar motors visualized by evanescent wave microscopy. Current Biology. 10(15). 927–930. 22 indexed citations

15.

Pierce, Daniel W. & Ronald D. Vale. (1998). Chapter 4: Single-Molecule Fluorescence Detection of Green Fluorescence Protein and Application to Single-Protein Dynamics. Methods in cell biology. 58. 49–73. 26 indexed citations

16.

Hostos, Eugenio L. de, Gretchen McCaffrey, Richard Sucgang, Daniel W. Pierce, & Ronald D. Vale. (1998). A Developmentally Regulated Kinesin-related Motor Protein fromDictyostelium discoideum. Molecular Biology of the Cell. 9(8). 2093–2106. 16 indexed citations

17.

Pierce, Daniel W. & Ronald D. Vale. (1998). [14] Assaying processive movement of kinesin by fluorescence microscopy. Methods in enzymology on CD-ROM/Methods in enzymology. 298. 154–171. 37 indexed citations

18.

Case, Ryan, et al.. (1997). The Directional Preference of Kinesin Motors Is Specified by an Element outside of the Motor Catalytic Domain. Cell. 90(5). 959–966. 290 indexed citations

19.

Vale, Ronald D., Takashi Funatsu, Daniel W. Pierce, et al.. (1996). Direct observation of single kinesin molecules moving along microtubules. Nature. 380(6573). 451–453. 561 indexed citations breakdown →

20.

Pierce, Daniel W. & Steven G. Boxer. (1995). Stark effect spectroscopy of tryptophan. Biophysical Journal. 68(4). 1583–1591. 86 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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