J. Escaig

947 citations
22 papers · 767 · h-index 12

Impact in

Papers in

J. Escaig

22 papers receiving 706 citations

Peers

J. Escaig
Comparison fields: 5 of 110
  • Structural Biology 54
  • Genetics 165
  • Molecular Biology 402
  • Ecology 118
  • Reproductive Medicine 39
Replace Gerardo H. Vázquez‐Nin with:
Gerardo H. Vázquez‐Nin Mexico
Harold W. Fisher United States
Pedro Pinto da Silva United States
Torunn Berge Norway
Simon Frey Italy
Anne H. Dutton United States
Mohammed Kaplan United States
Karl W. Hasel United States
K. Mannweiler Germany
Tomoo Ohashi United States
J. Escaig relative to Gerardo H. Vázquez‐Nin Mexico Gerardo H. Vázquez‐Nin's profile →
Citations per field
00.5×2.5×
Gerardo H. Vázquez‐Nin · 1×
Citations per year

Countries citing papers authored by J. Escaig

Since Specialization
Citations

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

Fields of papers citing papers by J. Escaig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Escaig, 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 J. Escaig Line = papers co-authored together J. Escaig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982178
2 1985143
3 198799
4 197151
5 197246
6 197938
7 198637
8 198634
9 197926
10 198024
11 197922
12 198117
13 198010
14
[Cryofractures of biological material performed at very low temperatures in ultravacuum].
19768
15 19798
16 19827
17 19826
18
[Rapid freezing of biologic tissue. Measurement of temperature and rate of freezing by thin-layer thermocouple].
19775
19
Preparation of thin, fine-grained, tantalum metal replicas for freeze-fracture electron microscopy.
19894
20 19792

About J. Escaig

J. Escaig is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 22 papers that have together received 767 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (2 papers), Bacterial Genetics and Biotechnology (2 papers), RNA Research and Splicing (2 papers), Viral gastroenteritis research and epidemiology (2 papers), thermodynamics and calorimetric analyses (2 papers), Blood properties and coagulation (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Structural Biology (54 citations), Genetics (165 citations), Molecular Biology (402 citations), Ecology (118 citations) and Reproductive Medicine (39 citations). J. Escaig has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include E. Kellenberger, Muriel Maeder, W. Villiger, Jan A. Hobot, A Ryter, R Seïte, M. Joseph Costello, Kazunobu Matsushita, Paul V. Viitanen and Donald R. Menick. Their work appears in journals such as Cancer, British Journal of Haematology, Journal of Bacteriology, Acta Neuropathologica and Journal of Microscopy.

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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