Daniel Seeman

775 total citations · 1 hit paper
8 papers, 675 citations indexed

About

Daniel Seeman is a scholar working on Food Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Daniel Seeman has authored 8 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Food Science, 3 papers in Molecular Biology and 3 papers in Nutrition and Dietetics. Recurrent topics in Daniel Seeman's work include Proteins in Food Systems (5 papers), Infant Nutrition and Health (3 papers) and Iron Metabolism and Disorders (2 papers). Daniel Seeman is often cited by papers focused on Proteins in Food Systems (5 papers), Infant Nutrition and Health (3 papers) and Iron Metabolism and Disorders (2 papers). Daniel Seeman collaborates with scholars based in United States, China and Switzerland. Daniel Seeman's co-authors include Paul L. Dubin, Yisheng Xu, Burcu Baykal Minsky, A. Basak Kayitmazer, Yunfeng Yan, Ebru Kizilay, Lionel Bovetto, Christophe Schmitt, Lianhong Sun and Xiaosong Du and has published in prestigious journals such as Langmuir, Biomacromolecules and Soft Matter.

In The Last Decade

Daniel Seeman

8 papers receiving 672 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.

Protein–polyelectrolyte interactions

2013 340 citations A. Basak Kayitmazer, Daniel Seeman et al. Soft Matter profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Seeman United States	8	298	245	165	118	113	8	675
Ebru Kizilay United States	8	308 1.0×	135 0.6×	186 1.1×	178 1.5×	160 1.4×	8	669
Jens T. Bukrinsky Denmark	14	83 0.3×	428 1.7×	53 0.3×	42 0.4×	56 0.5×	21	692
Tz. Ivanova Bulgaria	14	75 0.3×	242 1.0×	101 0.6×	189 1.6×	62 0.5×	30	533
Shoko Yokoyama Japan	16	60 0.2×	496 2.0×	33 0.2×	343 2.9×	165 1.5×	72	964
Marcia W. Patchan United States	14	27 0.1×	377 1.5×	40 0.2×	161 1.4×	95 0.8×	25	775
Kaname Hashizaki Japan	16	167 0.6×	271 1.1×	22 0.1×	329 2.8×	196 1.7×	55	705
Tanaya Chatterjee India	14	41 0.1×	362 1.5×	18 0.1×	48 0.4×	154 1.4×	25	648
Guangru Mao United States	10	48 0.2×	189 0.8×	24 0.1×	132 1.1×	48 0.4×	12	508
Yen‐Shan Wei Taiwan	11	48 0.2×	174 0.7×	12 0.1×	50 0.4×	84 0.7×	14	404
Rune A. Hartvig Denmark	9	29 0.1×	180 0.7×	95 0.6×	33 0.3×	74 0.7×	9	473

Countries citing papers authored by Daniel Seeman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Seeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Seeman

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Kizilay, Ebru, et al.. (2015). Complex Equilibria, Speciation, and Heteroprotein Coacervation of Lactoferrin and β-Lactoglobulin. Langmuir. 31(5). 1776–1783. 45 indexed citations

2.

Du, Xiaosong, Daniel Seeman, Paul L. Dubin, & David A. Hoagland. (2015). Nonfreezing Water Structuration in Heteroprotein Coacervates. Langmuir. 31(31). 8661–8666. 22 indexed citations

3.

Kizilay, Ebru, Daniel Seeman, Yunfeng Yan, et al.. (2014). Structure of bovine β-lactoglobulin–lactoferrin coacervates. Soft Matter. 10(37). 7262–7262. 42 indexed citations

4.

Kayitmazer, A. Basak, Daniel Seeman, Burcu Baykal Minsky, Paul L. Dubin, & Yisheng Xu. (2013). Protein–polyelectrolyte interactions. Soft Matter. 9(9). 2553–2553. 340 indexed citations breakdown →

5.

Yan, Yunfeng, et al.. (2013). pH-Dependent Aggregation and Disaggregation of Native β-Lactoglobulin in Low Salt. Langmuir. 29(14). 4584–4593. 60 indexed citations

6.

Yan, Yunfeng, Ebru Kizilay, Daniel Seeman, et al.. (2013). Heteroprotein Complex Coacervation: Bovine β-Lactoglobulin and Lactoferrin. Langmuir. 29(50). 15614–15623. 77 indexed citations

7.

Xu, Yisheng, et al.. (2012). Effect of Heparin on Protein Aggregation: Inhibition versus Promotion. Biomacromolecules. 13(5). 1642–1651. 40 indexed citations

8.

Xu, Yisheng, Yunfeng Yan, Daniel Seeman, Lianhong Sun, & Paul L. Dubin. (2011). Multimerization and Aggregation of Native-State Insulin: Effect of Zinc. Langmuir. 28(1). 579–586. 49 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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