Jennifer A. Sees

1.2k citations
36 papers · 807 indexed · h-index 13
Topics
Cellular Mechanics and Interactions (6 papers)Electronic Packaging and Soldering Technologies (6 papers)Hematopoietic Stem Cell Transplantation (6 papers)

In The Last Decade

Jennifer A. Sees

33 papers receiving 789 citations

Peers

Jennifer A. Sees
Comparison fields: 5 of 97
  • Cell Biology 290
  • Electrical and Electronic Engineering 287
  • Molecular Biology 194
  • Mechanical Engineering 191
  • Hematology 67
Replace Emmanuel Terriac with:
Emmanuel Terriac France
K. Tanuj Sapra Switzerland
Jaroslaw Jacak Austria
М. Н. Стародубцева Belarus
N.I. Yegorenkov Belarus
Cecile O. Mejean United States
Davide Franco Italy
Joon Ho Kang United States
D.H. Wachsstock United States
Alain Richert France
Jennifer A. Sees relative to Emmanuel Terriac France Emmanuel Terriac's profile →
Citations per field
00.5×10×13.6×
Emmanuel Terriac · 1×
Citations per year

Countries citing papers authored by Jennifer A. Sees

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Sees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer A. Sees. 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 Jennifer A. Sees. The network helps show where Jennifer A. Sees may publish in the future.

Co-authorship network of co-authors of Jennifer A. Sees

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Sees. A scholar is included among the top collaborators of Jennifer A. Sees 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 Jennifer A. Sees. Jennifer A. Sees 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 3
2 2
3 0
4 9
5 0
6 5
7 2
8 36
9 8
10 4
11 1
12 6
13 35
14 188
15 45
16 7
17 61
18 12
19 9
20
Composite solders
41

About Jennifer A. Sees

Jennifer A. Sees is a scholar working on General Materials Science, Hematology and Bioengineering, having authored 36 papers that have together received 807 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Electronic Packaging and Soldering Technologies (6 papers) and Hematopoietic Stem Cell Transplantation (6 papers). The work is most often cited by research in Aging (41 citations), Cell Biology (290 citations) and Biophysics (65 citations). Jennifer A. Sees has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David R. Kovar, James L. Marshall, Jenna R. Christensen, Andrew J. Bestul, Vladimir Sirotkin, Robert T. Carroll, Thomas A. Burke, Russell F. Pinizzotto, Cristian Suarez and Michael L. James. Their work appears in journals such as The Journal of Cell Biology, Blood and Journal of The Electrochemical Society.

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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