SA Khan

130 papers receiving 4.2k citations

SA Khan's Hit Papers

Distinct Hypothalamic Neurons Mediate Estrogenic Effects on Energy Homeostasis and Reproduction 2011 · 476 citations
4760+5+10Years since publication100200300400

Peers

SA Khan
Comparison fields: 5 of 146
  • Genetics 1.3k
  • Endocrine and Autonomic Systems 293
  • Reproductive Medicine 327
  • Endocrinology, Diabetes and Metabolism 485
  • Molecular Biology 1.7k
Replace Xiangdong Li with:
Xiangdong Li China
Hiroshi Yamada Japan
Jeremy B. M. Jowett Australia
Françoise Lenfant France
Jörg Reichrath Germany
Qiang Dong China
Yosuke Osawa Japan
Yasuyuki Takagi Japan
Na Wang China
Ruby C.Y. Lin Australia
SA Khan relative to Xiangdong Li China Xiangdong Li's profile →
Citations per field
00.5×3.0×
Xiangdong Li · 1×
Citations per year

Countries citing papers authored by SA Khan

Since Specialization
Citations

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

Fields of papers citing papers by SA Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distinct Hypothalamic Neurons Mediate Estrogenic Effects on Energy Homeostasis and Reproduction
Hit paper breakdown →
2011476
2 2013210
3 2007209
4 2020150
5 1985148
6 2006113
7 2013106
8 2010100
9 200993
10 200092
11 200687
12 199578
13 202172
14 200871
15
High terminal deoxynucleotidyl transferase activity in acute myelogenous leukemia.
197668
16 199167
17 201067
18 201864
19 200058
20 201757

About SA Khan

SA Khan is a scholar working on Molecular Biology, Genetics, Surgery, Epidemiology and Immunology, having authored 136 papers that have together received 4.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (43 papers), Reproductive System and Pregnancy (11 papers), Biochemical and Molecular Research (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Reproductive Biology and Fertility (5 papers), Genomics and Chromatin Dynamics (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Genetics (1.3k citations), Endocrine and Autonomic Systems (293 citations), Reproductive Medicine (327 citations), Endocrinology, Diabetes and Metabolism (485 citations) and Molecular Biology (1.7k citations). SA Khan has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Kenneth P. Nephew, Yuxin Feng, Gregory A. Peters, Deborah J. Clegg, Bruce C. Moulton, Yong Xu, David Manka, Kay‐Uwe Wagner, Lana M. Gent and Kathryn E. Davis. Their work appears in journals such as Endocrinology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular and Cellular Endocrinology and Nature Communications.

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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