D Latchman

1.6k citations
21 papers · 1.2k · h-index 13

Impact in

  • Aging top 10%
    • Heat shock proteins research
    • Genomics and Chromatin Dynamics
    • Mitochondrial Function and Pathology
    • RNA Research and Splicing

Papers in

D Latchman

20 papers receiving 1.1k citations

Peers

D Latchman
Comparison fields: 5 of 95
  • Aging 21
  • Molecular Biology 762
  • Rehabilitation 59
  • Pathology and Forensic Medicine 138
  • Cell Biology 113
Replace Susan C. Stevenson with:
Susan C. Stevenson United States
Ly Q. Hong‐Brown United States
Nobuko Mori Japan
Yoshihiro Matsumura Japan
Toru Wakatsuki Japan
Herbert Schramek Austria
Rajendra Goswami United States
Xiaolin Li China
Fujiko Tsukahara Japan
Amiya K. Ghosh United States
D Latchman relative to Susan C. Stevenson United States Susan C. Stevenson's profile →
Citations per field
00.5×1.5×2.0×
Susan C. Stevenson · 1×
Citations per year

Countries citing papers authored by D Latchman

Since Specialization
Citations

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

Fields of papers citing papers by D Latchman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001320
2 1990209
3 1995132
4 2005121
5 1996111
6 200665
7 200148
8 199739
9
Incidence of anti Hsp 90 and 70 antibodies in children with SLE, juvenile dermatomyositis and juvenile chronic arthritis.
199635
10 199027
11 200418
12 200614
13 200512
14 199512
15 20049
16 19938
17 19915
18 19863
19 20041
20 20031

About D Latchman

D Latchman is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Ecology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heat shock proteins research (3 papers), RNA Research and Splicing (3 papers), thermodynamics and calorimetric analyses (2 papers), Stress Responses and Cortisol (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Virus-based gene therapy research (1 paper), Animal Virus Infections Studies (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Aging (21 citations), Molecular Biology (762 citations), Rehabilitation (59 citations), Pathology and Forensic Medicine (138 citations) and Cell Biology (113 citations). D Latchman has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Richard J. Heads, Derek M. Yellon, David R. Katz, Joanna Galea‐Lauri, David Isenberg, Mart H. Mojet, Michael R. Duchen, Michael Marber, Kevin M. Lawrence and Lynn M. Rose. Their work appears in journals such as Nucleic Acids Research, Cardiovascular Research, Journal of Molecular and Cellular Cardiology, Atherosclerosis Supplements and The Journal of Immunology.

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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