Daniel Prabakaran

3.5k total citations · 1 hit paper
6 papers, 2.8k citations indexed

About

Daniel Prabakaran is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daniel Prabakaran has authored 6 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daniel Prabakaran's work include Erythrocyte Function and Pathophysiology (2 papers), Cellular transport and secretion (2 papers) and Adenosine and Purinergic Signaling (1 paper). Daniel Prabakaran is often cited by papers focused on Erythrocyte Function and Pathophysiology (2 papers), Cellular transport and secretion (2 papers) and Adenosine and Purinergic Signaling (1 paper). Daniel Prabakaran collaborates with scholars based in United States, Vietnam and Czechia. Daniel Prabakaran's co-authors include Rexford S. Ahima, Christos S. Mantzoros, Eleftheria Maratos–Flier, Jeffrey S. Flier, Bradford B. Lowell, Peter Arvan, Regina Kuliawat, E Seemanová, Carlo Brugnara and Chairat Shayakul and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Cell Science.

In The Last Decade

Daniel Prabakaran

6 papers receiving 2.8k 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.

Role of leptin in the neuroendocrine response to fasting

1996 2.6k citations Rexford S. Ahima, Daniel Prabakaran 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 Prabakaran United States	6	2.2k	1.3k	1.2k	802	322	6	2.8k
Haicheng Fei China	2	2.4k 1.1×	1.5k 1.2×	1.3k 1.1×	1.3k 1.6×	246 0.8×	2	3.1k
Shehla Mohammed United Kingdom	7	1.6k 0.8×	1.2k 0.9×	890 0.7×	676 0.8×	409 1.3×	7	2.4k
Peter Kobelt Germany	28	1.3k 0.6×	1.1k 0.9×	846 0.7×	360 0.4×	370 1.1×	61	2.7k
Julie McMinn United States	16	1.2k 0.6×	655 0.5×	681 0.6×	342 0.4×	423 1.3×	16	2.0k
Syann Lee United States	27	1.4k 0.7×	1.3k 1.0×	503 0.4×	619 0.8×	1.2k 3.7×	44	3.5k
Miriam Goebel‐Stengel Germany	24	818 0.4×	793 0.6×	449 0.4×	390 0.5×	316 1.0×	62	1.9k
Luis Varela United States	23	1.1k 0.5×	961 0.8×	355 0.3×	447 0.6×	550 1.7×	39	2.6k
Khalid Mounzih United States	11	1.2k 0.5×	619 0.5×	498 0.4×	584 0.7×	139 0.4×	17	1.6k
M Gourmelen France	23	1.3k 0.6×	902 0.7×	720 0.6×	543 0.7×	878 2.7×	59	3.3k

Countries citing papers authored by Daniel Prabakaran

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Prabakaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Prabakaran

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

All Works

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6 of 6 papers shown

1.

Prabakaran, Daniel, et al.. (2010). Glucose-dependent insulinotropic polypeptide stimulates the proliferation of colorectal cancer cells. Regulatory Peptides. 163(1-3). 74–80. 24 indexed citations

2.

Kuliawat, Regina, Daniel Prabakaran, & Peter Arvan. (2000). Proinsulin Endoproteolysis Confers Enhanced Targeting of Processed Insulin to the Regulated Secretory Pathway. Molecular Biology of the Cell. 11(6). 1959–1972. 47 indexed citations

3.

Prabakaran, Daniel, Rexford S. Ahima, John W. Harney, et al.. (1999). Polarized targeting of epithelial cell proteins in thyrocytes and MDCK cells. Journal of Cell Science. 112(8). 1247–1256. 22 indexed citations

4.

Jarolı́m, Petr, Chairat Shayakul, Daniel Prabakaran, et al.. (1998). Autosomal Dominant Distal Renal Tubular Acidosis Is Associated in Three Families with Heterozygosity for the R589H Mutation in the AE1 (Band 3) Cl−/HCO3−Exchanger. Journal of Biological Chemistry. 273(11). 6380–6388. 140 indexed citations

5.

Arvan, Peter, Regina Kuliawat, Daniel Prabakaran, et al.. (1997). Intracellular Protein Transport to the Thyrocyte Plasma Membrane: Potential Implications for Thyroid Physiology. Thyroid. 7(1). 89–105. 36 indexed citations

6.

Ahima, Rexford S., Daniel Prabakaran, Christos S. Mantzoros, et al.. (1996). Role of leptin in the neuroendocrine response to fasting. Nature. 382(6588). 250–252. 2565 indexed citations breakdown →

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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