Jacob Lam

584 citations
8 papers · 400 · 1 hit paper · h-index 6

Impact in

    • Advanced Electron Microscopy Techniques and Applications
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

Jacob Lam

7 papers receiving 399 citations

Jacob Lam's Hit Papers

A Universal Approach to Analyzing Transmission Electron Microscopy with ImageJ 2021 · 243 citations
2430+1+3Years since publication50100150200

Peers

Jacob Lam
Comparison fields: 5 of 74
  • Structural Biology 13
  • Aging 8
  • Molecular Biology 214
  • Biophysics 16
  • Physiology 36
Replace Margaret Mungai with:
Margaret Mungai United States
Taylor A. Rodman United States
Michelle Biete United States
Gerardo Raul Corradi Argentina
Marine Berquez Switzerland
Tetsuaki Miyake Canada
Takashi Kato United States
Haite Tang China
Joyeeta Rahman United Kingdom
Aitor Delmiro Spain
Jacob Lam relative to Margaret Mungai United States Margaret Mungai's profile →
Citations per field
00.5×1.5×
Margaret Mungai · 1×
Citations per year

Countries citing papers authored by Jacob Lam

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Jacob Lam, 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 Jacob Lam Line = papers co-authored together Jacob Lam links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
A Universal Approach to Analyzing Transmission Electron Microscopy with ImageJ
Hit paper breakdown →
2021243
2 202145
3 202341
4 202336
5 202324
6 20249
7 20242
8 20250

About Jacob Lam

Jacob Lam is a scholar working on Structural Biology, Physiology, Biophysics, Molecular Biology and General Health Professions, having authored 8 papers that have together received 400 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Adipose Tissue and Metabolism (2 papers), Male Reproductive Health Studies (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Structural Biology (13 citations), Aging (8 citations), Molecular Biology (214 citations), Biophysics (16 citations) and Physiology (36 citations). Jacob Lam has collaborated with scholars based in United States. Frequent co-authors include Margaret Mungai, Trace A. Christensen, Edgar Garza Lopez, Prasanna Katti, Heather K. Beasley, Kit Neikirk, Zer Vue, Michelle Biete, Sandra Murray and Brian C. Glancy. Their work appears in journals such as Journal of Cellular Physiology, Cells, Advanced Biology, American Journal of Physiology-Heart and Circulatory Physiology and Therapeutic Advances in Urology.

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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